جستجوی مقالات مرتبط با کلیدواژه "نظریه فازی" در نشریات گروه "مدیریت"

This paper aims to identify the optimal locations for new fire stations in Isfahan city using multiple criteria decision-making (MCDM) methods and geographic information system (GIS) data. AHP, fuzzy AHP, and TOPSIS methods are used to identify potential locations for new fire stations based on decision criteria such as population density, proximity to main roads, distance from existing fire stations, density of hazardous materials, radius of the fire brigade, traffic network, land use, age of buildings, and potential for danger. The candidate locations for new fire stations are ranked according to these criteria, and the results are validated by the Statistics and Strategic Planning Unit of the Isfahan Central Fire Department. The fuzzy AHP results indicate that districts 8, 9, and 4 have the highest priority for new fire stations, respectively. Sensitivity analysis of the criteria weights reveals that district 8 has the highest priority, while districts 12 and 15 have the lowest. This study also provides managerial insights, including the need to modify municipal building regulations and relocate dangerous sites to improve fire safety in Isfahan city. The proposed approach provides a useful tool for decision-makers to identify optimal locations for new fire stations and improve fire safety in urban areas.

Because maintenance (NET) is one of the vital units of any industry and can affect other sectors and even the environment and society. The aim of this study was to provide a framework for selecting maintenance strategies using Fuzzy Axiomatic Design based on sustainability indicators (economic, social and environmental) for Iran-Lahijan auto parts manufacturing company.

This research is of applied type. In this research, field and library study methods were used to collect information. The tool used in this research in the field method was the use of a questionnaire. The sample space of this research is Iran-Lahijan car upholstery parts manufacturing company and 8 experts in the field of maintenance and repairs.

By studying previous books, articles and researches and getting help from maintenance experts, 6 maintenance strategies and 16 criteria in the field of sustainability were selected and these strategies were ranked by Fuzzy Axiomatic Design. As a result, a comprehensive productivity maintenance strategy was selected as the best option.

In this research, a framework for selecting maintenance strategies using Fuzzy Axiomatic Design based on sustainability indicators (economic, social and environmental) for Iran-Lahijan auto parts manufacturing company was presented According to the results, total productive maintenance strategy, which has the lowest amount of information content compared to other options, was selected as the first priority.

For a long time, one of the most important problems in wars has been the enemy's operations to destroy facilities and communication networks. The destruction of bridges and roads, air, missile, or artillery attacks, and the countless cyber-attacks in recent years prove that one of the main goals of the enemy in wars is to weaken through the destruction of facilities and equipment. In contrast, the defense forces seek to make the most of their resources and facilities to prevent the enemy from reaching its goal. In this research, a multi-period dynamic interdiction problem in fuzzy conditions is investigated in order to help military decision-makers and commanders to choose an appropriate strategy. In this problem, the defense forces in the role of interdictor try to minimize the maximum flow during the T period so that at each stage the interdictor and the enemy are fully aware of the performance of the other side. Edge capacities in this model are considered as fuzzy variables. To solve the proposed model, first, the fuzzy dynamic interdiction problem is transformed into the deterministic dynamic interdiction problem with the help of the concepts of credibility measure and chance constraint programming. Then, by creating the crisp two-level problem created by duality, it is transformed into a single-level problem, and then it is solved by using the generalization of Banders decomposition algorithm. Finally, the validity of the problem is evaluated by providing a numerical sample.

Today, security and peace in different parts of society is one of the most important issues of mankind. Especially, due to the expansion of communications, the increase in international flights, and the development of transportation, the need to security is felt more than before. Achieving this requires predicting and preventing riots or attacks on various centers using scientific techniques. On the other hand, the limitations of security resources, including manpower and military facilities, have to be considered. Another challenge of security forces is that attackers observe the pattern of security forces before planning any attack. Therefore, defensive forces have to take into account the attacker's priorities in their decision making. Game theory provides a mathematical approach to utilize some limited security resources to maximize their efficiency. In this paper, a mathematical model is proposed to optimize the allocation of the forces, using a game theory analysis. Naturally, each player is unaware of the importance of targets for the other, exactly. In this model, in order to handle the players' uncertainty about the importance of targets, their payoffs are considered as triangular fuzzy numbers. Then, Lexicographic optimization is applied to solve the problem using an ordering relation on triangular fuzzy numbers. The final part of the paper deals with solving the security game problem with deceptive resources in the fuzzy environment in which, the defender can also use unrealistic resources to reduce the attacker's productivity, given the available budget.

Nowadays, with regard to the competitiveness of the global trade and the need to meet the demands of customers, and given the increasing growth of technology in order to preserve and maintain the organization, we can use the various combinations of QFD as a powerful tool in quality engineering. . In this research, Delphi method was first used to identify the main components of the research including customer requirements and technical requirements, and then, due to the importance of weighing in the quality performance development tool, by developing a combined DEMATEL-ANP fusion decision method, and The severity of the relationships will affect the effectiveness and effectiveness of the components and weights associated with them to complete the matrix of the quality house. In order to complete the QFD method, we will use the new expansion of the Wasserman relationship. Also, in order to solve the traditional QFD problem of not considering the effect of constraints on technical engineering requirements, we will apply a combination of QFD, DEMATEL-Fuzzy ANP and DEA methods in the present study. Also, to demonstrate the effectiveness of this approach, we will consider it as a case study at the Goldiran Industry Corporation's executive washing machine production site.

Technology evaluation is a process which systematically studies and measures the impacts of introducing, developing, changing and modifying technology in an economic institution or a society. Intending to present a cluster of technological projects, while moving beyond modern industrial technologies to touch ecological technologies, this research is performed on the technological projects of the Iranian Tele-Communication Company as a case-study. Experts who at least held Master’s Degree with more than five-years experience comprised the statistical population of the study. The sample consisted of 10 subjects who were selected through snowball sampling. In order to reach a theoretical framework, identifying variables, preparing the research literature and data collection tools such as interviews and questionnaires, the survey method was applied. To compute the validity of data-collection tools, the Fuzzy Delphi technique was used. Based on Fuzzy clustering method, 15 indexes were finally identified and were classified in five categories including: (a) analysis, including prioritizing the needs, selecting technological solutions and analyzing challenges, needs and opportunities; (b) identification, including capability acceptance, capability completion and capability renovation; (c) project financial ownership, including investment level and financial appraisal; (d) designing and engineering, including concordance with the market and knowledge of technology; (e). empowerment, including identifying success factors, acquiring the technology, benchmarking and creating competitive advantage.

In the futures century, it's impossible to imagine a world without air travel. every day airlines bring millions of passengers and goods between different countries and cities. in this process, the safety of flying airplanes has particular importance. different countries require advanced detection systems to identify their aerospace care for all flight targets. In many countries, the discovery process takes place using a variety of radars, and the identification process is carried out in a number of different ways, mainly by individuals specializing in spatial control centers, the main drawback of the current methods is the probability of occurrence of human decision making errors. therefore, it seems that considering the predictions and the increasing trend of air traffic, it is necessary to design fuzzy decision making and artificial intelligence software systems that can be used as decision makers in decision making in this area. accordingly, in this paper, using existing data as training, testing, validation and training information in the environment of the Tacachi-Sugeno interface fuzzy algorithm in MATLAB software environment, an optimal model for detection and identification processes is presented by the proposed system. the most important result of this study is to improve the detection and proper action of the flight targets by approximately 20%. given that the proposed algorithm has the ability to learn and predict trends due to the use of the knowledge base, it will be wider to apply in future missions.

Many human efforts and activities in various organizational areas relates to motivation. If faculty members are motivated to work effectively, their effectiveness becomes twofold. So it needs Models for motivating this group effective in the country will be analyzed Which facilitates the implementation of systematic incentive schemes. The purpose of this research is to design the interpretive structural model of faculty member's motivation system based on fuzzy technique. The approach of this research is survey and, in terms of purpose, an exploratory research. Also, this research is descriptive-analytical in terms of data collection type. The implementation of the research is done in a comparative-inductive way. In terms of approach, research is a combined , The research strategy is quantitatively then qualitative. in the present study, Because to the complexity of the matrix, a sample of 14 experts and faculty experts were selected. Based on research findings in fuzzy space and innovative changes in the technique, decentralization strategies and floating working times were more than the other motivational strategies were rated. The results are Matches with the latest theory of management and organization, and the main reason for this this priority can be seen in the organizational maturity of faculty members that faces the organizations.
The research results include the ISM Interpretative Structural Integrated Model in five levels with respect to one-way or two-way relationships and contradicts with the classic motivational models such as Maslow and Al-Dharfer.

Wargaming is one of the techniques of futures studies that prepares military commanders to predict future threats and how to make decisions in different situations. The wargaming decision support system is used to optimize the use of manpower, equipment, and to choose the best solution against the opponent's strategy. The decision making process in the wargaming system includes decision makers and players, environmental factors, objectives, strategies and criteria. In this article, the decision making process in tactical and operational wargaming scenarios is described. To this end, the model of fuzzy zero sum games in the decision support system of tactical and operational wargaming is examined. In this model, linguistic variables are used to set the game's payoff table. By using alpha-cuts of fuzzy numbers, the payoff matrix of game with interval elements is obtained, and the expected payoff is written as interval and depend on alpha . By calculating expected value of expected payoff, payoffs as crisp are written. After evaluating objectives and criteria, a mathematical programming approach is proposed for each player. By solving these problems, optimal strategies of players are obtained. Finally, the modeling of a wargaming battle scenario is illustrated and the use and resolution of these models is described.

this paper attempts to rank the effective factors in making trust in social networks to provide the possibility of attracting and increasing users’ trust on these social networks for providers and designers of online social networks. Identifying the effective factors in making trust in social networks is a multi-criteria decision making problem and most of effective factors are ambiguous and uncertain, thereby this article uses Fuzzy ELECTRE to rank them. By implementing Fuzzy ELECTRE on gathered data, respectively «usability factor», «supporting up to date technology factor», «integrity» and «the rate of ethics factor» are on the top of effective factors in making trust in users. In general, «web features» and «technology features» have a higher degree of importance than «security features», «individual-social features» and «cultural features». Ranking of Fuzzy ELECTRE comparison ranking of Fuzzy TOPSIS and Fuzzy ELECTRE method becomes validate because Spearman correlation coefficients is 0/867. Result of sensitivity analysis on changing weight of criteria shows that Fuzzy ELECTRE isn’t affected by ambiguity and uncertainty in inputs.

Time-cost trade-off (TCT) problem is a well-known subject in the project scheduling contexts. None of previous studies in this area of research emphasize on the incorporation of the TCT problem into the started project’s performance in order to present a comprehensive model for scheduling and controlling the project in its whole life. The aim of this paper is to provide a novel control mechanism which includes scheduling the project prior to start date، monitoring the project’s performance through the execution، predicting future performance of the project، determining the necessity for re-scheduling، and providing an approach for re-scheduling of the project. In the proposed model، several options with specific time and cost have been considered for the initiation of each activity. These options make different paths for the construction of the project. Due to vagueness and imprecision presented in real case projects، the time and cost behavior for each option has been presumed as fuzzy numbers. Earned Value Management (EVM) has been then utilized for measuring project performance and ultimately، statistical modeling has been also employed in predicting the future trend of EVM’s indices. The model has resulted in selection of the best path for implementation purpose among all available paths. Moreover، the proposed model provides the advantage of assessing the possibility of rescheduling process. An illustrative case has been studied to analyze the application of the proposed model.

DSL technology services are regarded as a key factor for fast access to data in the large part of population. In this research, a new methodology is presented using fuzzy failure modes and effect analysis and data envelopment analysis to identify the failures of DSL services. The innovation of research includes the application of FMEA in services. Fuzzy logic has been used to contrast with the ambiguity of the evaluations. Therefore, the failure modes in the field of DSL in one of the ISPs have been identified and evaluated by RPN at multiplicative risk. Finally based on the ranking, the most important failures have been identified. The ranking of failure modes indicates that the drop in line speed is the top priority due to high traffic, limited bandwidth of infrastructure companies, viral systems and the problem of internal line.

Systematic performance appraisal and ranking of candidates applying for promotion is important in strategic human resource management. This paper discusses an approach for the promotion screening of candidates applying for a particular commission in amilitary organization. The approach uses a fuzzy set theory and electronic nominal group technique for ranking decisions fairly through the multi-criteria performance appraisal process. A new ranking procedure considering the metric distance and fuzzy mean value is proposed, which makes it possible to rank order the performance of the candidates by aggregating the scores from each evaluator. A new system for performance appraisal and promotion ranking is also developed. The system has a monitoring function which utilizes performance evaluation data without abnormal evaluation data, which could occur when a particular evaluator produces an incorrect result. The system was applied to a military organization in Korea. The results of example show that the systematic approach of the fuzzy procedure is an effective method for transparent and impartial multi-criteria performance evaluation.

Since we cannot manage what we cannot control, and we cannot control what we do not measure, the measurement of knowledge management (KM) effectiveness is a very important issue. This study aims at developing a methodology to evaluate the KM effectiveness under fuzziness in research organizations. In order to develop such a methodology and to define measures of KM effectiveness, first the relevant literature were studied thoughtfully, in the next step, the opinions of the experts, specialists, scholars and professionals in IT and KM systems and senior managers in Iran’s research organizations were gathered through in-depth interview and consultation. Linguistic data that people use in their judgments may result in ambiguities. To decrease these ambiguities, linguistic terms based on the extent fuzzy analytic hierarchy process (FAHP) - as a multi-attribute decision making approach- are used in this study. 34 measures, which are the major variables to evaluate the KM effectiveness, have been defined under six main measures: Human resources, leadership and organizational structure, knowledge creation and acquisition, knowledge storage and security, knowledge sharing, and knowledge utilization and updating. The results indicate that “human resources” is the most important measure. The other 5 criteria in order of importance are the “Knowledge Sharing”, “Leadership and Organizational Structure”, “Knowledge Utilization and Updating”, “Knowledge Creation and Acquisition” and “Knowledge Storage and Security”. Finally, to test validity and reliability of the proposed framework, we have used this framework to evaluate the KM effectiveness in 9 of Iran’s research organizations.

This paper presents a multi-objective zero-one linear programming model with fuzzy parameters to select a proper portfolio of processes for reengineering in the manufacturing companies. Based on a new set of qualitative and quantitative indicators, an evaluation method is presented to measure and estimate the reengineering effect of processes on the improvement of company performance. Fuzzy sets theory is used because some variables are verbal and we have some uncertain data. So, analytic hierarchy process, multi-criteria group decision making, fuzzy theory and portfolio theory all were used together to develop a process portfolio selection model. In this model, processes which make maximum value for company and cause the least staff resistance are selected for reengineering. Also considering the membership degree of fuzzy numbers, a novel method is developed to solve multi-objective zero-one linear programming problems with fuzzy parameters. Finally, an illustrative case study is included to demonstrate the efficiency and practicality of the proposed model.