The aim of this research is to identify the main criteria used for selecting the locations of public libraries based on an optimized model, Topsis-Fuzzy technique and using geographic information systems. The research also aims to investigate the identified criteria in the geographic space of Tabriz city. The research will be used to produce a map of convenient sites for public library usage. This is an applied-developmental research study that uses descriptive analytical techniques. We analyzed the attitudes of the researchers from different fields towards the selection of public libraries site criteria, based on the Topsis-Fuzzy technique, and represented the results on the Tabriz map using Arc GIS software. The findings of the research include 21 criteria for locating the locations of public libraries. Moreover, based on the specified criteria and their importance, convenient space for public library buildings usage is represented on a map. Originality/Value: The main contribution of the research is a new approach for locating public library sites based on the ideas of experts, the analysis of data by new techniques such as Topsis-Fuzzy, and the representation of the results on several map layers.

The selection of mathematics professors is an important issue for universities, since professors are the main pillars of the universities and improving the quality of their performance leads to the improvement of the universities’ educational quality.The aim of this study is to Prioritization of Professional Competencies of Mathematics lecturers of Farhangian University in Iran ,through topsis fuzzy. The present study is an applied research in terms of purpose and is a combination of documentary content analysis and descriptive-analytical research in terms of nature and method. At first, the statistical population including all available domestic and foreign theoretical and research texts were selected and studied. In the second stage, to rank the selected competencies, five mathematics professors were purposefully selected from Farhangian University branches of Hormozgan province, who determined the importance of each of the indicators in a designed questionnaire that were assigned to them. The data were then analyzed, using TOPSIS fuzzy method.Based on the findings, knowledge competence, abilities competence, characteristics competence and skills competence were the most important competencies.According to the mentioned results, it can be understood that Farhangian universities can use the findings of this study to select the professional competencies of their mathematics professors.

Intro duction Tectonic features of the Iran, has raised the earthquake as one of the most destructive causes of destruction of human life. Historical review shows that large areas of Iran have been suffered by natural disasters and caused heavy human and financial loss. Because of this important issue it is needed to reduce earthquake vulnerability. The city of Tehran as one of the largest and most important cities, due to the geographic location of this city on several active faults and historical records of these faults activities can be said to face a massive earthquake in near future, so the 9th district of Tehran municipality, is selected as the study area. In this research TOPSIS Fuzzy model is used to assess and analyze vulnerabilities in the study area, considering different earthquake intensities. 2- Theoretical Bases Basic concept of TOPSIS is based on the belief that selected options should have lowest distance from positive ideal points and most distance from negative ideal points. Since many of the variables related to the issue in the real world are linguistic and qualitative variables, so in these issues it is better toapply Model Fuzzy Decision Model, such as TOPSIS Fuzzy model, which shows the importance of standards and options performance according to the various characteristics, using fuzzy numbers, instead of integers. 3- Discussion The results of the regions vulnerability assessment used shows that 73.66 percent of buildings in this area have moderate vulnerability, that are the northeast, east and southeast parts of this regions that included a maximum number of housing. Then, assessment of different earthquake intensities, the building damages were evaluated in the intensities of 6 and 7 and 8 Mercalli intensity scale. The results show that in intensity 6 of Mercalli scale, buildings damage in ranked between zero and one. In intensity 7, buildings damage was ranked between one and two and in intensity 8 buildings damage was ranks higher than two. 4- Conclusion Many models are presented to analyze and evaluate the seismic vulnerability of cities; and various researches have been done. In those works inside the country the investigated area was not small. Also, in today's world, in many variables related to current issues of real world are qualitative and linguistic, So, in these issues it is better to use fuzzy models, No doubt regional vulnerability is related to human characteristics in that region and a reflection of human behavior and human management practices, because the construction and implementation of engineering principles in construction depend on management comments and thoughts, After so, in any investigation, the applied models shoud be compatible with the study area conditions. 5- Suggestions - Create an organized GIS database of cities, analysis of vulnerability of earthquake-prone areas, designing softwares for vulnerability analysis and assessment based on the analyzed model in this study. - Vulnerability assessment of Tehran and other earthquake-prone regions of the country, to make necessary measures to reduce vulnerability in these areas.

The main objective of this study is to identify and analyze the antecedents of customer relationship management using fuzzy TOPSIS (Fuzzy The Technique for Order of Preference by Similarity to Ideal Solution) and fuzzy DEMATEL (Fuzzy Decision Making Trial and Evaluation Lab) techniques. In this research, first, through reviewing the literature and surveying Experts, the antecedents of customer relationship management are identified, and then, using the fuzzy TOPSIS technique, these factors are prioritized. The statistical population of this study consists of 10 Experts of Ghavamin Bank. Then, using the fuzzy DEMATEL technique, the impact and affectability of the factors are studied. According to the results, it can be concluded that data mining (of customer information) is the factor with the highest priority. Also, expand the use of information technology is considered the most important cause (the most influential indicator) and creation customer relationship management strategy is considered the most important effect (the most impressible indicator).

Rapid urbanization along with the social, economical and political transformations has been caused to an uneven pattern of urban and consequently the heterogeneous distribution of facilities such as economic resources across the country, including the province of East Azerbaijan.The present research is a practical study which utilizes "descriptive - analytical" methodology in order to analyze the spatial indicators of economic development in the province of East Azerbaijan. The evaluated indicators of this study are 14 economic indicators of East Azerbaijan province’s counties.. For analyze the data TOPSIS-Fuzzy technique has been used. The result show that there is big gap between Tabriz County as the center of East Azerbaijan Province with 4.12 distance to S and 8.91 distance to S- and other cities of Province such as Ahar County as a second city of province with 7.98 distance to S and 4.97 distance to S- regarding the enjoyment of economic development indicators. Meanwhile Khodaafarin, Charoymagh and Jolfa counties are the most poor. The result indicate a Center-Periphery pattern regarding the enjoyment of economic development indicators among the counties of East Azerbaijan Province. This issue need new attention in order equal distribution of economic development indicators throughout the Province.The present research is a practical study which utilizes "descriptive - analytical" methodology in order to analyze the spatial indicators of economic development in the province of East Azerbaijan.The evaluated indicators of this study are 14 economic indicators of East Azerbaijan province’s counties. In order to collecting the data, the East Azerbaijan Province Governor General 1391 statistical data have been used. For analyze the data TOPSIS-Fuzzy technique has been used.The result show that there is big gap between Tabriz County as the center of East Azerbaijan Province with 4.12 distance to S and 8.91 distance to S- and other cities of Province such as Ahar County as a second city of province with 7.98 distance to S and 4.97 distance to S- regarding the enjoyment of economic development indicators. Meanwhile Khodaafarin, Charoymagh and Jolfa counties are the most poor.The result indicate a Center-Periphery pattern regarding the enjoyment of economic development indicators among this counties

In order to strengthen their socio-cultural issues, cities adopt various approaches, including: sustainable development and resilience, etc. The aim of the current research is to select the best approach for socio-cultural development in the city of Isfahan, which is developmental-applicative in terms of purpose and descriptive-analytical and causal-survey in terms of nature. For this purpose, a survey was conducted in the city of Isfahan. The data was collected using the documentary-library method and questionnaire. The statistical population is experts and custodians of planning and development of urban affairs in the city of Isfahan, among them, 62 people of planning and development of urban affairs and 50 experts were selected by snowball method and the questionnaire was distributed among them. were prioritized using the techniques of TOPSIS, Fuzzy COPRAS, and Fuzzy ARAS techniques And with the SWOT technique, strengths, weaknesses, opportunities and threats facing the socio-cultural development were identified. The findings of TOPSIS, Fuzzy COPRAS and Fuzzy ARAS techniques show that: areas 2, 7, 9, 11, 13, 14 and15 should be prioritized in planning And in the SWOT technique, the strategies of expanding humanitarian activities and philanthropy, supporting vulnerable groups, creating sustainable employment, providing needed infrastructure in urban areas, applying housing incentive policies and revising urban development plans and programs are the most effective strategies.

Since a large number of the oil and gas projects are related to the supply chain, the selection of contractors and suppliers is very important. In projects, a contractor is obliged to supply the goods from suppliers and manufacturers approved by the clients, while most companies in Iran, including the company surveyed in this research, i.e. Iranian Offshore Engineering and Construction Company (IOEC, do not have a scientific approach to this issue). The main objective of this research is providing a scientific and practical approach to ranking suppliers and contractors at IOEC and selecting the best ones. In order to achieve such an objective, an integrated model of Swing and TOPSIS methods with fuzzy approach has been designed and applied to a real case. The actual data used are obtained from the post-lay survey of the exports and infield pipelines of South Pars development phases 13, 14, and 22. Keywords: Supplier Selection, multi attribute decision making (MADM), Oil and Gas, IOEC, Swing, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy, Pipelines

Put critical situations. Decline of groundwater level in Urmia plain and declaration of this plain as one of the forbidden plains of West Azerbaijan province; It has caused the rehabilitation of the aquifer and planning to prevent its decline and increase its level to be among the priorities of the executive plans of the Ministry of Energy in this area.In this study, in order to rehabilitate the aquifer and in parallel, the effect of annual rainfall parameters and reduction of groundwater abstraction on changes in the aquifer level of the Urmia plain was investigated using the fuzzy TOPSIS technique. In this regard, the effectiveness of the measures taken based on 4 management scenarios, a questionnaire with 18 options in the form of three criteria of implemented measures, short-term proposed measures and long-term proposed measures were prepared. Given the breadth and multiple interactions between the criteria and the leading measures, the fuzzy method to express the effect of each option quantitatively and the TOPSIS fuzzy analysis method to analyze the opinions of experts with the aim of ranking the options of each scenario in Problem solving was used. The results indicate that increasing rainfall and consequently decreasing groundwater abstraction is still the most effective factor in the relative improvement of the quantitative status of the aquifer. Meanwhile, by examining the amount of rainfall in the last few years in the Urmia plain, it can be stated that in addition to changing the amount of rainfall as the main factor, the effectiveness options of patrol and inspection groups (Ch6), feeding the aquifer by releasing water from the dam Tea city (Ch7) and river blockage in non-crop seasons and feeding the aquifer through the main river (Ch4) are among the measures of the rehabilitation and balancing plan (implemented) in improving the groundwater level. Given the breadth and multiple interactions between the criteria and the leading measures, the fuzzy method to express the effect of each option quantitatively and the TOPSIS fuzzy analysis method to analyze the opinions of experts with the aim of ranking the options of each scenario in Problem solving was used.The results indicate that increasing rainfall and consequently decreasing groundwater abstraction is still the most effective factor in the relative improvement of the quantitative status of the aquifer. Meanwhile, by examining the amount of rainfall in the last few years in the Urmia plain, it can be stated that in addition to changing the amount of rainfall as the main factor, the effectiveness options of patrol and inspection groups (Ch6), feeding the aquifer by releasing water from the dam Tea city (Ch7) and river blockage in non-crop seasons and feeding the aquifer through the main river (Ch4) are among the measures of the rehabilitation and balancing plan (implemented) in improving the groundwater level.

design of two phrase mathematical model for green supply chain Green supply chain has attracted considerable attention of the governments and organizations over the past decades. The objective of this research is to suggest an integrated approach for green supply chain management including two stages. In the first stage, a TOPSIS-Fuzzy approach was presented to consider uncertainty in human’s judgment. In the second stage, we applied a robust Multi Objective Mixed-Integer linear Programming model to design the green supply chain network. Although many researches have been conducted on green supply chain management, most of them have not given enough importance to integrate decision making in supply chain. Moreover, most of former researches assume that supply chain is a balanced system. Also very few studies have considered carbon emission and the related issues in supplier evaluation which cause on overall warming and pollution of the planet. The model was designed for an active company in glass industry. results have revealed that the model is capable of controlling the network uncertainties.

The present paper aims at presenting an incorporative fuzzy approach towards evaluating of performance using Balanced Scorecard (BSC). To do so, first, based on the data collected from evaluating the components of strategic management, main objectives, key factors of success, and performance evaluation indices are identified. Next, using TOPSIS fuzzy method, the indices are prioritized and ranked so the indices with the highest impact on performance evaluation are identified and classified in the form of balanced scorecards. 29 people from among the elite, chiefs and key experts filled out a questionnaire, in order to achieve the goals of the study. The validity of the questionnaire was confirmed through the experts, and its reliability was defined using Cronbach's alpha (0.89%). At the end, the proposed model was executed in a branch of Saderat Bank in Tehran. The application of the improvisations resulted in the improvement in almost all defined indices, i.e., the Total Performance Index for the studied organization was 72.38% by April, 2015 (based on the last three months prior to that), which was raised to reach 79.16% three months after executing the model (the end of July, same year).