Contractor selection is one of the most important aspects in construction contract. This paper suggests importance of various multi criteria decision making models for contractor selection problem in Indian context. The study includes identifying the different criteria for bid evaluation and the means by which different decision making models may be used to evaluate the contractors with respect...

An Improvement of Extend TOPSIS (IE-TOPSIS) method is presented for Armament System of Systems (ASoS) selection. In this paper, ASoS selection problem is a multiple criteria decision-making problem. Because determining the specific value of the attribute for each ASoS is difficult, the criteria score is considered as interval vague value. The IETOPSIS method can deal with the interval data valu...

Supplier selection, in real situation, is affected by several qualitative and quantitative factors and is one of the most important activities of purchasing department. Since at the time of evaluating suppliers against the criteria or factors, decision makers (DMS) do not have precise, exact and complete information, supplier selection becomes more difficult. In this case, Grey theory helps us ...

− In this paper, we first briefly present conventional TOPSIS method developed by Hwang and Yoon[10, 19] as a multi-criteria decision making technique. We then give a group decision making method based on TOPSIS method under fuzzy soft environment, and finally give an application of proposed method to show operation and effectiveness of method.

As international corporate activities increase, their staffing involves more strategic concerns. However, foreign assignments have many differences, and dissatisfaction with the host country is a known cause of expatriate failure. From the point of view of an expatriate candidate, the decision of whether to take an expatriate assignment can be regarded as a FMCDM (fuzzy multiple criteria decisi...

The hierarchical TOPSIS model used in this article is able to grasp the ambiguity exists in the utilized information and the fuzziness appears in the human judgments and preferences. The use of the hierarchical fuzzy TOPSIS methodology offers a number of benefits: (1) being a systematic model and straight forward one for working on; and (2) capable of capturing human's appraisal of ambiguity wh...

Purpose: The aim of this study is applying a new method for Industrial robotic system selection. Design/methodology/approach: In this paper, the weights of each criterion are calculated using fuzzy Shannon’s Entropy. After that, fuzzy TOPSIS is utilized to rank the alternatives. After that we compare the result of Fuzzy TOPSIS with Fuzzy VIKOR method. Then we select the best Industrial Robotic ...

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.

Multiple attribute decision making is an important part of modern decision science. It has been extensively applied to various problems. There are several methods for this decision making problem. Based on TOPSIS method and Gray relational analysis method, this paper presents a combined approach to the multi­attribute group decision making. Finally, an...