data envelopment analysis (dea) is a managerial powerful tool for assess the performance of decision making units (dmus). nowadays, multi-objective dea models are an attractive technique for evaluation quantity and quality aspects of performance analysis. but these models are in static. in this paper, we want to present a proposed fuzzy dynamic multi-objective dea model in which data are changi...

in an arid country like kuwait with harsh and hot climate conditions, the scarcity of fresh water supplies presents a serious threat to sustainable socio-economic development and growth. kuwait is an oil rich country with capital abundance and coastal locations enabled it to build desalination plants for fresh water production that is sold to the customers at highly subsidized prices. however, ...

the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

Evaluating and selecting alternatives investment projects needs considering all relevant and important aspects. In traditional methods, the focus is just on tangible monetary criteria. Also in the traditional methods, either all the information’s about factors must be known precisely or sufficient objective data must be available for applying probability theory. In this paper, a combinative app...

This paper proposes a new approach based on Bonferroni mean operator and possibility degree to solve fuzzy multi-attribute decision making (FMADM) problems in which the attribute value takes the form of interval type-2 fuzzy numbers. We introduce the concepts of interval possibility mean value and present a new method for calculating the possibility degree of two interval trapezoidal type-2 fuz...

This paper presents a fuzzy multi-criteria decision-making (FMCDM) model by integrating both subjective and objective weights for ranking and evaluating the service quality in hotels. The objective method selects weights of criteria through mathematical calculation, while the subjective method uses judgments of decision makers. In this paper, we use a combination of weights ob...

When dealing with multi-criteria decision making problems, the concept of Pareto-optimality and Pareto-dominance may be inefficient (e.g. generally multiple solutions exist), especially when there is a large number of criteria. Our paper considers the fuzzy multi-criteria decision making problem based on Zadeh’s linguistic approach to P-optimality and P-dominance. The construction, analysis and...

In this research, the multi-objective project management decision problem with fuzzy goals and fuzzy constraints are considered. We constitute α-cut approach and two various fuzzy goal programming solution methods for solving the Multi-Objective Project Management (MOPM) decision problem under fuzzy environments. The Interactive fuzzy multi-objective linear programming (i-FMOLP) and Weighted Ad...

The objective of this article is to develop an empirically based framework for formulating and selecting a product launch strategy. Managers usually face Fuzzy decision scenarios. Traditional decision-making methods fail to satisfy a manager’s need in this regard. Thus, a hierarchical fuzzy multi-criteria decision-making (Fuzzy MCDM) method for evaluating a new product launch strategy is propos...