This paper proposes a grey interval relation TOPSIS for the decision making in which all of the attribute weights and attribute values are given by the interval grey numbers. The feature of our method different from other grey relation decision-making is that all of the subjective and objective weights are obtained by interval grey number and that decisionmaking is performed based on the relati...

With respect to the multiple attribute group decision making problems in which the attribute weights are unknown and the attribute values take the form of the intuitionistic linguistic numbers, an expanded technique for order preference by similarity to ideal solution (TOPSIS) method is proposed. Firstly, the definition of intuitionistic linguistic number and the operational laws are given and ...

Survivability has been one of the active fields in network security recently. In order to evaluate the survivability of networked system effectively, this paper proposes a method of combining grey correlation analysis and improved TOPSIS for quantitative assessment. Firstly, it normalizes indicator matrix according to improved TOPSIS method and determines the positive and negative ideal solutio...

-This paper proposes a grey interval relation TOPSIS method for the decision making in which all of the attribute weights and attribute values are given by the interval grey numbers. In this paper, all of the subjective and objective weights are obtained by interval grey number and decision-making is based on four methods such as the relative approach degree of grey TOPSIS, the relative approac...

In this paper, the probabilistic version of intuitionistic fuzzy decision making methods is introduced to show duality present within distance. Here, two types methods, namely, TOPSIS (PI-TOPSIS) algorithm and face identification (PIFI) are proposed. The PI-TOPSIS utilizing distance as separation measure; for its justification rankings reduced information loss multi criteria problems compared. ...

In hotly competitive international industrial and economic environments, supply chain coordination (SCC) is one of active research topics in production and operation management. In this research work, we present a new consensus-based fuzzy TOPSIS approach for supply chain coordination problem. It is formulated as a multi-criteria group decision making (MCGDM) problem and solved by combining con...

The aim of the study is developing a fuzzy decision model to select a student from an Engineering college who is eligible for All Round Excellence Award for the year 2004-05 by taking subjective judgments of decision makers into consideration. Here Fuzzy Analytic Hierarchy Process (FAHP) approach and (Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) methods are proposed....

A personalized product recommendation is an effective mechanism to overcome information overload occurred when customers conduct Internet shopping. The paper presents a personalized recommender system, which integrates semantic similarity computation and TOPSIS method. First, semantic similarity is computed by constructing semantic vector-space, in order to realize the semantic content-based fi...

This paper presents an integrated fuzzy approach for selecting R&D project. In the integrated approach, fuzzy concepts are used for decision-makers’ subjective judgments to reflect the vague nature of the selection process. Fuzzy ANP and Fuzzy TOPSIS are included in the integrated approach. Fuzzy ANP is used to determine the fuzzy weights of criteria and sub-criteria. Fuzzy TOPSIS aims to rank ...

This paper applies fuzzy set theory to evaluate the service quality of online auction. Service quality is a composition of various criteria. Among them many intangible attributes are difficult to measure. This characteristic introduces the obstacles for respondent in replying to the survey. So as to overcome this problem, we invite fuzzy set theory into the measurement of performance. By using ...