جستجوی مقالات مرتبط با کلیدواژه « تاپسیس » در نشریات گروه « کشاورزی »

Due to the diversity and multiplicity of atmospheric general circulation models (GCM), it is not possible to use all of them in the estimation of climatic parameters. Undoubtedly, using the right model in climate simulations can improve the accuracy and certainty of the modeling. In this study, ACCESS-ESM1-5, GFDL-CM4, IITM-ESM, INM-CM4-8, IPSL-CM6A-LR, MPI-ESM1-2 and MRI-ESM2-0 from the CMIP6 was evaluated in Nekarood river basin by applying multi-criteria decision-making (MCDM) approaches including compromise programming (CP), cooperative game theory (CGT), the technique for order of preference by similarity to ideal solution (TOPSIS) and weighted average technique (WAT). Then the final ranks were determined based on the group decision making method (GDM). To check the quality of the estimated rainfall of GCMs in accordance with the observed rainfall, correlation coefficient (CC), normalized root mean square deviation (NRMSD), average absolute relative deviation (AARD), absolute normalized mean bias deviation (ANMBD) and skill score (SS) were used. The weight effect of the evaluation indices in each of the MCDMs was determined by the entropy technique. The results indicate that the CC has the highest effect in the ranking process of GCMs with a weighted importance of about 45%. Finally, the GFDL-CM4 with a net strength of 18 in the group decision-making method was recognized as the most appropriate GCM, simulating precipitation for this watershed.

The main purpose of this study is to identify and rank the most important technological projects in the agricultural sector of Hamadan province in the five-year horizon (2022-2026) using the combined SWOT approach, hierarchical analysis process and TOPSIS.

The research method is applied in terms of purpose and survey-descriptive in terms of data collection. The statistical population of the study includes 30 experts and academics and industry experts who due to the limited population, all members were used as a statistical sample. For this purpose, first the opportunities and challenges of the cities of Hamadan province in the agricultural sector are mentioned; Then, using the opinions of experts, the points (strengths, weaknesses, opportunities and threats) of the agricultural sector of the cities of the province were identified; Then, using the hierarchical analysis process approach, key indicators in evaluating high-potential projects were evaluated and the weights of the indicators were calculated.

The output of this approach showed that the indicators in terms of importance were: 1- feasibility, 2- technological nature of the project, 3- attractiveness of the project and 4- completion of the value chain. Finally, the projects were evaluated and ranked using TOPSIS technique and expert opinions.

The final result of the evaluation of this technique indicates that the "High Tech Greenhouse" project is in the first rank and the "Gene Bank" project is in the last rank in terms of importance in the development of the province's agricultural sector. At the end, practical suggestions were...

Rural ecotourism based on scientific principles and criteria is one of the essential approaches in the process of achieving sustainable development and preventing the waste of time and capital.The research method is descriptive-analytical and its purpose is to prioritize the villages targeted for rural ecotourism in the forest area of Babolakrood watershed in Mazandaran province. In the study, Delphi method to identify rural ecotourism criteria, Entropy technique to determine their weight and multi-criteria decision models such as TOPSIS, ElECTER and VIKOR to prioritize villages in the forest area of Babolakrood watershed in terms of ecotourism potential rural in 2019. The findings of the study identified and customized four environmental, economic, social and technical criteria and 44 indicators to evaluate rural ecotourism in case stuady. The results of prioritization of 17 villages in the forest region of Babolakrood watershed showed that Khalil Kola, Kharkak, Ari, Kalikola and Firozjah villages respectively are five villages with high potential for rural ecotourism, with the highest final average. Also, the results showed that the application of different multi-criteria models leads to different ranking of options, so in order to reach a consensus and a more comprehensive ranking of options, the triple integration method has been used. The results showed that VIKOR model in comparison with other models provides more suitable results for prioritizing the villages of the region in terms of rural ecotourism potential. Therefore, we suggested that the target ecotourism villages considered in the management programs of rural ecotourism projects in Mazandaran province,Savadkuh city.

The purpose of this study is to evaluate the process of agricultural sustainable development in Yazd province. The weighting of sustainability indicators has been done using the entropy and TOPSIS method was used for evaluation of sustainability. The results of the study show that in the period between 2001-2018, in the environmental dimension, the consumption of pesticide and conservation of natural resources indicators, in the social dimension, transportation, telephone communications and Natural growth rate of population, and in the economic dimension, The efficiency of red meat production and non-agricultural income have played an important role in the sustainable development of agriculture in Yazd province. The results show a reduction in the growth of sustainable development in economic and social dimensions, especially in recent years. But, in the environmental dimension, we see an obvious development of the agricultural sector. According to the results, it is suggested that more attention is given to the development of infrastructure facilities such as appropriate and asphalted communication roads, telephone communications, and access to health and electricity services in rural areas.

The agricultural sector relies heavily on energy consumption to meet the growing need for food. One of the challenges of sustainable agriculture is that the majority of farmers still use fossil energy. Carbon dioxide emissions in Iran have caused $ 26.27 billion in damage to the country, of which $ 1.57 billion is the share of the agricultural sector. The final energy consumption per capita in Iran's agricultural sector is 3.3 times the global average. Therefore, energy use in the country is very important. This study prioritized renewable energies in the agricultural sector of the north of Iran (Golestan, Mazandaran, and Guilan) using the Entropy weighting technique and the TOPSIS method. The information required for this study was collected using a Delphi method from 39 experts and five types of renewable energy and five criteria. The results showed that the Prioritization of energies are solar energy, wind energy, biomass energy, hydropower, and geothermal energy and Environmental, political, social, technical and economic criteria rank first to fifth in importance, respectively.

The appearance of rural settlements has been based on natural factors such as soil and water. Natural factors have a decisive effect on location, dispersion, range of influence, physical development, morphology, and the like, and these factors sometimes act as a positive factor and sometimes as a negative factor. The purpose of this study is the status of rural settlements in Firoozabad city in relation to natural factors. The statistical population includes rural settlements of Firoozabad city. This city has two parts and 5 rural districts. The method studied in this research is the fuzzy TOPSIS method, which is one of the best decision-making methods based on fuzzy variables. The information used includes altitude, slope, direction, climate, vegetation, soil, erosion, land use, which have been analyzed in GIS environment. Findings show that the central part with the most villages has the weakest performance compared to natural factors and Ahmadabad rural district is in the first place with 95% The second part of the city is related to a part of Meymand that has performed better in terms of natural factors so that most of the villages in the city are in a better condition in this part. In general, rural settlements in the north and northwest of Firoozabad are in a better situation. While the situation of rural settlements in the southern and central parts of the city is unsuitable. Be in an awkward position. Therefore, it demands that the potential and capacity of rural settlements in the city be well studied and in proportion to the existing talents in the region, to introduce, plan and implement alternative livelihood programs for the agro-livestock economy that is currently and has destroyed this situation.

Soil erosion has been one of the most important problems of watersheds in the world and is considered one of the main obstacles to achieving sustainable development in agriculture and natural resources. Identifying and prioritizing regions sensitive to soil erosion is essential for water and soil conservation and natural resource management in watersheds. The present research was performed in 2021 year to prioritize the soil erosion susceptibility in 12 sub-watersheds of the Roudzard watershed in Khouzestan province using morphometric analysis and multiple criteria decision-making (MCDM) methods. In this regard, 11 morphometric parameters including shape parameters such as compactness constant (Cc), circularity ratio (Rc), form factor (Rf), elongation ratio (Re), linear parameters such as drainage density (Dd), stream frequency (Fs), drainage texture (Dt), bifurcation ratio (Rb), Basin length (L), Length of overland flow (Lg), and topographic parameter including Ruggedness number (Rn) were extracted and their relative weights were calculated using Analytic Hierarchy Process (AHP). The prioritization sub-watershed to soil erosion was performed using TOPSIS, VIKOR, and SAW methods, and the results were combined using rank mean, Copeland, and Borda methods. The final prioritization was compared with the amount of specific erosion in the MPSIAC model by determining Spearman's correlation coefficient. The result of the evaluation of morphometric parameters by using the AHP model showed that drainage density (0.161), drainage texture (0.158), and stream frequency (0.146) had the greatest effect on the erodability of the sub-watersheds. In contrast, the form factor (0.049), Elongation Ratio (0.036), and shape factor (0.026) had the least effects on erodability of the study area. In this research, the Spearman correlation coefficient between the final result of prioritizing the sub-watershed and the MPSIAC model was obtained as 0.8 in p-value<0.01. The results of prioritization of the sub-watersheds in terms of their sensitivity to soil erosion showed that sub-watersheds 11, 12, and 10 with an area of 191.83 km2 are categorized as very sensitive to soil erosion due to high value of linear parameters, low value of shape parameters, sensitive geology formation, and poor vegetation cover and located in rank 1 to 3, respectively. According to the results sub-watersheds 11, 12, and 10 have the highest amount of specific erosion equal to 16.03, 12.48, and 11.6 tons per hectare per year, respectively. Therefore, these sub-watersheds are a priority for watershed management operations. The results of the present study showed that MCDM methods and morphometric analysis are suitable tools for identifying areas sensitive to soil erosion and using the combined methods of the results and it is possible to take advantage of each of the different multi-criteria decision-making methods.

Due to the scarcity of water resources and increasing human demand, the optimal operation of reservoirs has become one of the most important issues in the world. In this regard, the correct and optimal operation of dams is one of the most efficient tools for water resources management. Due to the large number of decision variables, relationships, and constraints in the problems, reservoir management, and optimization have many complexities. Therefore, many researchers in their research have paid special attention to this issue. In this research, a new algorithm namely Atom Search Optimization (ASO), which is derived from the concepts of molecular dynamics, will be developed for multi-reservoir water resource systems. On the other hand, failure to implement appropriate policies to protect the soil has led to an important phenomenon of erosion in the lands above the reservoirs, one of the negative consequences of which will be sedimentation. The transfer and accumulation of suspended sediments, in turn, will reduce the useful volume of the reservoir, which is neglected in most reservoir optimization issues. However, in this study, the optimal operation of a single reservoir dam is investigated by the Atom Search Optimization algorithm in terms of monthly sediment yield.

First, the performance of the atom search algorithm on mathematical benchmark functions will be investigated. Then, by performing sensitivity analysis to logically determine the effective coefficients of the algorithm and selecting the appropriate number of particles and the number of iterations of each operation, the performance of the algorithm on conventional systems of four and ten reservoirs is analyzed. In order to supply water downstream of Dez Dam, considering the important issue of monthly sediment flow in the reservoir, the atom search algorithm and four other common algorithms are used. The results are modified by selecting the objective function value criteria, RMSE, MAE, NSE, and PBIAS values and prioritized using TOPSIS and Modified-TOPSIS ranking techniques.

The performance of the atom search algorithm on conventional systems of four and ten reservoirs is analyzed, which shows the results of 95.33% with an absolute optimal solution of four reservoirs, ie 308.29, and 89.67% with an absolute answer of ten reservoirs, 1194.44. Also, by comparing the atom search algorithm and four common Salp Swarm Algorithm (SSA), Sine Cosine Algorithm (SCA), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) in a single reservoir system under deposition, the absolute superiority of the ASO search algorithm was demonstrated.

The use of an atom search algorithm in solving optimization problems in the field of water resources management is recommended, especially in terms of the effectiveness of soil protection and sedimentation of reservoirs.

Flood is one of the most common and dangerous natural disasters occurring worldwide (Samanta et al., 2018). Iran is ranked sixth in the world in terms of flooding (Khosroshahi and Saghafian, 2003) due to the disturbance of the hydrological balance of the country's watersheds, of which Abolabbas River Basin is no exception. In effect, due to the hydrological imbalance of the watershed, the river runoff cannot be transferred well (Tehrany et al., 2013). Given that each part of the basin has a certain potential in the production of runoffs and floods, once water overflows into the surrounding lands floods occur. It is thus necessary to prepare flood sensitivity maps and identify susceptible areas for flood prevention and management (Bout et al., 2018). This study was thus intended to prepare hazard maps for different parts of the watershed, and to prioritize the effective parameters in the occurrence of floods in the study area.

This study considered 11 important indicators including altitude, runoff curve number, slope, slope direction, rainfall, vegetation, drainage density, distance from waterway, land use, stream power index and topographic wetness index to determine the flood potential of Abolabbas River Basin with an area of 281.23 square kilometers. For the purpose of this study, the layers were scaled and the individual pixels were weighted and then prioritized using the TOPSIS technique (Rasooli et al., 2018).

One of the serious challenges in inter-basin water transfer projects is the environmental, economic, social and political consequences of its implementation.

The purpose of the study is to identify and prioritize the consequences of the inter-basin water transfer project of Aras River to Lake Urmia in Moghan plain using the opinions of experts and specialists related to the water basin.Therefore, in this regard, the questionnaire was used to identify the effective consequences from three perspectives: environmental, economic and socio-political, entropy and TOPSIS techniques were used to calculate their weight and prioritize.

Analysis of the findings of the study by completing 30 questionnaires received, has identified 28 consequences from environmental, economic and socio-political aspects to evaluate the inter-basin water transfer plan of the study area, which includes 16 environmental consequences. There were four economic consequences and seven socio-political consequences. The results of weighting the consequences of inter-basin water transfer projects of Aras River to Lake Urmia in Moghan plain using entropy technique showed that from the environmental point of view, the consequence of reducing available water, the economic point of view, the consequence of increasing agricultural land loss and necessity food imports and the socio-political consequence of increasing the lack of attention to social water rights have the highest weight among other consequences. Also, the results of TOPSIS method showed that the most important consequences of water transfer from Aras River to Lake Urmia in Moghan plain include environmental, socio-political and economic consequences, respectively.

it is suggested that before implementing inter-basin water transfer projects, the environmental, economic and social consequences should be examined by organizations related to the water basin to reduce the amount of future damage caused by it.

Choosing a water meter for a household is one of the major issues in water and wastewater companies. In recent years, due to the increase in the number of subscribers, increase in the number of accident due to the inadequacy of water meters, also various parameters of the water meter and environmental and regional conditions, the selection of water meters is more evident. The decision maker needs to select the most suitable water meter to achieve the desired output at a lower cost and his ability.
Studies show that there is no research on the use of MADM techniques in the field of water meter selection for household use. In the research of industrial and volumetric meters, also only a few parameters have been investigated and according to the researcher's opinion, the solution has been presented without considering the quantitative effect of factors. In the present research, first, the key attribute for evaluation of the meters are identified. Then based on the Entropy method and opinion of industry experts, the weight of criteria is calculated. Then, TOPSIS technique attempts to present a strategy for water and wastewater companies to choose suitable meters for home appliances.
Finally, the calculations for meters’ attribute determine the relative importance of attribute and also water meter ranking, which can be used for selection of the water meters.
According to the results of this research, the order for selecting the water meters is presented, that semiconductor multi-jet meters ranked in the first order.

One of the basic elements of water resources management and increasing agricultural productivity is the optimal use of (water) resources. The water footprint index is one of the new approaches used for this purpose. In this study, the water footprint approach was used to optimize the cultivation pattern of crops in different climates of Iran. For this purpose, 11 crops were selected in six different climates of Iran and after calculating the water footprint of the cultivated crops, the RIS indicators and the actual blue water footprint (WFAblue) were evaluated. After evaluating and calculating the indicators, the TOPSIS optimization method was used to provide the optimal cultivation pattern. Results showed that among the proposed products, wheat, barley, alfalfa, cotton, and tobacco had the highest amount of green water footprint, of which the highest one was corresponded to the PH-C-W climate. However, the highest blue and gray water footprint are mainly related to rice, beans, cotton and tobacco, which is due to the high water consumption of these products (high water demand). Evaluation of the optimization model also showed that the most optimal crops for cultivation in the region were respectively corn with 39%, barley with 23%, potato with 20%, tomato with 7% and wheat with 1% priorities. The most undesirable crops for cultivation in the provinces of the country were respectively, tobacco, cotton, beans, rice, sugar beet and alfalfa.

Although Iran is aleading pistachio producing and exporting country, it faces various challenges such as reluctance or inability of producers to use advanced technologies and modern methods in producing, packaging and exporting. Developing and even keeping sharers in the world’s market requires the adoption of appropriate strategies. The aim of this study was to evaluate production and export strategies of pistachio in Kerman province in order to improve Iranian pistachio competitiveness in global market. In the first stage of this study the evaluation matrices of external and internal factorswere set up. In the second stage, alternative strategies were identified by aligning key external and internal factors and using Strength- WeaknessOpportunity- Threat matrix, Strategic Position and Action Evaluation matrix and the internalexternal matrix. In the he third section, evaluates the strategies identified in section two were evaluated using a quantitative strategic planning matrix and prioritizing the alternative strategies according to criteria via TOPSIS and ELECTRE-III technique. Results indicated that pistachio industry in Kerman is internally and externally weak and current strategies are neither capitalizing on opportunities nor avoiding the external threats. Consistent with the final prioritization, the strategies known to be superior to the other strategic alternatives include developing marketing activities and enhancing the capability to build the Iranian pistachio brand through market and consumer research, using modern irrigation systems, promoting cultivation of pistachios and related activities in other provinces of the country with the direct participation of Kerman pistachio farmer and using mulch and plastic cover.

Algorithm implementation )TOPSIS( Prioritize Factors Affecting the Entrepreneurial Intent of Wooden Furniture Products Abstract At present, the changes are so quick, that the producers of today's wooden products have to ensure their innovative survival, supply and services, which requires serious and practical attention to productive entrepreneurship. When entrepreneurship is accepted as a lifestyle by individuals in a community, that society is developing very rapidly.The work of the furniture business is always looking for change, and it responds to the opportunity to identify and values the viability of the industry,which is evolving and evolving the nature of the wood industry. The present research has tried to investigate the identification and ranking of factors affecting the entrepreneurial production of wooden furniture products, Because the future economic security of the wood industry relies heavily on the quality of entrepreneurship. In this research,descriptive-survey analytical method has been used Research community is the experts, manufacturers, and wood industry entrepreneurs who can help with research by answering questions from the questionnaire. Data were analyzed and ranked using multi-criteria decision-making algorithm (entropy and topsis). The research showed that in the human, economic, law and regulation index, the structure and vitality of the furniture and technical industry, under the indicators of individual entrepreneurial capacity, skilled labor, control over the prices of furniture products, the actual guarantee of the product after sale and design, and Ideas ranked first in the research. key words Wooden furniture products, Entrepreneurial intention, multi-criteria decision, entropy, topsis

Improving business environment is one of the factors affecting on the economic development of rural areas. In this study, 75 questionnaires from the owners of agricultural businesses was used to evaluated and ranked business environment. Factor analysis showed that 5 factors effect on the rural economic activists, which explain 72% of the changes. Among the extracted factors, the first factor with 33.97% of total changes was named as business environment. Based on the components of this factor, the share of each of the measurable items was calculated and according to these shares, the cities of Mazandaran province were ranked. results of TOPSIS method showed that Babol, Sari and Amol cities are in the ranks of the first to third respectively in rural areas. The scores of these three cities are 59.35, 53.68 and 50.68, respectively. The score of each city show that the cities of Mazandaran province are different in terms of business environment index and all of cities are far from the ideal point, so it is necessary to do appropriate actions for Improvement the states of cities of Mazandaran province. The most important priorities for improving the business environment in rural areas are security and social capital, accessing to electricity, roads and markets, respectively.

Rural areas play an important role in the world economy for a long time, due to the wide range of food and raw materials, which is especially important in developing countries. Rural development is also an important part of regional policy covering agriculture, forestry, natural resource management, land use, and economic diversification in rural communities. Selection and leveling of villages developed is one of the most important steps in the successful planning of rural development and overall success, especially in developing countries. This article is based on a fuzzy term of technique or order preference, which is similar to the ideal method (TOPSIS). The purpose of this paper is to develop a fuzzy TOPSIS approach to improve the quality of decision making to determine the level of development in the city of Islamshahr. In this research, the level of credit and score of rural development levels was done using Fuzzy-TOPSIS technique among villages in Islamshahr city. The results show that the Fuzzy-TOPSIS method is useful for deciding on the choice of developmental level, and the proposed system can provide accurate and reliable results.

Construction of underground dams (UGDs) is a method of water harvesting in arid and semi-arid regions facing the drought crisis. UGDs are structures constructed in the hidden waterways that can store water in their upstreams. The most important problem in the construction of such dams is finding the right place. The purpose of this research is to locate and prioritize suitable areas for UGDs using the TOPSIS multi-criteria decision making method on the Sadeghabad Watershed, the Province of Fars. By performing field surveys and considering: slope percent, distance from fault, land use, and lithological units inappropriate areas were removed and a map of potential areas for the construction of an underground dam was prepared. According to expert judgement and review of scientific resources, 9 criteria, namely water quantity, dam length and height, reservoir storage coefficient, reservoir volume, abutment, slope, water demands (domestic, agriculture, and industry) and accessibility (road, village, and borrow area) were used to prioritize appropriate locations. Accordingly, 17 initial sites were selected based on expert judgment considering the criteria and overlapping of the base maps. The results indicated that water quantity and water demands with the weights of 0.308 and 0.2048 had the highest rating in priority in locating the underground dam, respectively. In contrast, the length of the axis of the dam and the supporting base of the dam with the weights of 0.019 and 0.023 had the lowest rating in priority. Finally, sites 15, 2, and 14 were given the first to the third priorities. Therefore, due to the serious limitations of groundwater resources in most parts of our country, and particularlyin the Province of Fars, these methods are useful for identification of suitable sites and construction of the UGDs.

Studies show no clear pattern of credit distribution in provinces of Iran. This study aimed at identifying the criteria for the allocation of agricultural credits in Kerman province. To make final decisions, the questionnaire information and official statistics were used in FAHP and TOPSIS methods, for the first time, for optimal allocation of agricultural credits. The study results showed that in the present condition, Kerman, Rafsanjan, and Shahr-e Babak Counties with almost 0.80, 0.291 and 0.290 were placed in the first to third ranks, respectively; and Zarand and Sirjan were the last ranks in receiving the agricultural credits. According to the analysis of 17 indicators, Bam, Kerman and Baft Counties with about 052, 0.51 and 0.24, were placed in the first to third ranks. The study results also showed that the status quo Chapters of agricultural land organization program, conservation of soil and water with coefficient of 0.635 had the highest priority of credit distribution. In the end, for the distribution of agricultural credits in Kerman province, giving attention to the organization of the water resources and prioritized Counties of Bam, Kerman and Baft through the concerned policies was recommended.