The aim of this paper is to extend the TOPSIS method for decisionmaking problems with Fuzzy data. By this extension of TOPSIS method, an algorithm for determining the most preferable choice among all possible choices in the case of fuzzy data is presented. To illustrate the performance of the proposed algorithm, a decision-making problem is solved at the end of paper.

The recent government tendering process being conducted in an electronic way is becoming an inevitable affair for numerous governmental agencies to further exploit the superiorities of conventional tendering. Thus, developing an effective web-based bid evaluation methodology so as to realize an efficient and effective government E-tendering (GeT) system is imperative. This paper firstly investi...

Öz Supplier evaluation and selection includes both qualitative and quantitative criteria and it is considered as a complex Multi Criteria Decision Making (MCDM) problem. Uncertainty and impreciseness of data is an integral part of decision making process for a real life application. The fuzzy set theory allows making decisions under uncertain environment. In this paper, a trapezoidal type 2 fuz...

The evaluation of flexible manufacturing system(FMS) is regarded as a multiple attribute group decisionmaking problem and has a critical impact on the improvement of manufacturing system competitiveness. Therefore, an effective group decision-making model using fuzzy-TOPSIS method is developed for the evaluation of alternative FMSs where the information available is subjective and imprecise. In...

Selection of a project among a set of possible alternatives is a difficult task that the decision maker (DM) has to face. In this paper, by using a fuzzy TOPSIS technique we propose a new method for a project selection problem. After reviewing four common methods of comparing investment alternatives (net present value, rate of return, benefit cost analysis and payback period) we use them as cri...

The evaluation and selection of reliable suppliers are an extremely important operational activity for any supply chain management. It is a hard problem since supplier typically multi-criteria decision-making involving several conflicting qualitative quantitative criteria on which the decision-maker’s knowledge usually vague imprecise. process may be biased while decision made by single expert ...

one of the most effective tools for decline cost and time, quality improvement and consequently project performance enhancement especially in construction projects, is value engineering. there are linguistic judgments in many cases of value engineering studies in construction projects such as interior design, mechanical installations design, and etc. therefore multiple attribute decision-making...