Intuitionistic fuzzy ELECTRE method and experimental analysis on contradiction rates

2011 ◽  
Author(s):  
Ming-Che Wu ◽  
Ting-Yu Chen
2012 ◽  
Vol 220-223 ◽  
pp. 2308-2312 ◽  
Author(s):  
Jun Li ◽  
Min Lin ◽  
Jian Hua Chen

A new multi-criteria decision-making method for interval-valued intuitionistic fuzzy number is proposed by the advantage of intuitionistic fuzzy set and ELECTRE method. Firstly, the possibility-degree and deviation-degree of interval number are used to establish the preference relation of interval-valued intuitionistic fuzzy number. Then, we exposit the decision theory and the steps of this method. Finally, a numerical example is given to illustrate the application of the method. The numerical results show that it is feasible and effective.


2019 ◽  
Vol 4 (10) ◽  
pp. 103-110 ◽  
Author(s):  
Ming-Che Wu

This article proposes an intuitionistic fuzzy (IF) Elimination and Choice Translating Reality (ELECTRE) method to rank consumers’ alternatives ranking order with subjects’ questionnaires by using IF data and the ranking order applied the proposed method are closer to consumers their own ranking order. Moreover, the mean value of Spearman correlation coefficients are higher than 80% in each product category, and also higher than 90% at bank service product category especially. This study uses IF sets characteristics to handle uncertain decision environment and to classify the concordance and discordance sets according to their score function for measuring the degree of suitability of each alternative and also using the concept of the positive and negative ideal solutions to rank all candidate alternatives in the proposed method. Furthermore, analyzer can use this method to gain valuable information from questionnaires, and consumers rarely provide preference data directly. Additionally, an empirical study is given to illustrate the proposed method and also compared with Wu and Chen 2011’s paper which considered not only score function but also accuracy function. The results show that using the proposed method, decision makers can easily predict candidate alternatives ranking order and make decisions accurately.


2015 ◽  
Vol 22 (3) ◽  
pp. 416-452 ◽  
Author(s):  
Ting-Yu CHEN

The method of ELimination Et Choix Traduisant la REalité (ELimination and Choice Expressing Reality, ELECTRE) is a well-known and widely used outranking method for handling decision-making problems. The purpose of this paper is to develop an interval-valued intuitionistic fuzzy ELECTRE (IVIF-ELECTRE) method and apply it to multiple criteria decision analysis (MCDA) involving the multiple criteria evaluation/selection of alternatives. Using interval-valued intuitionistic fuzzy (IVIF) sets with an inclusion comparison approach, concordance and discordance sets are identified for each pair of alternatives. Next, concordance and discordance indices are determined using an aggregate importance weight score function and a generalised distance measurement between weighted evaluative ratings, respectively. Based on the concordance and discordance dominance matrices, two IVIF-ELECTRE ranking procedures are developed for the partial and complete ranking of the alternatives. The feasibility and applicability of the proposed methods are illustrated with a multiple criteria decision-making problem of watershed site selection. A comparative analysis of other MCDA methods is conducted to demonstrate the advantages of the proposed IVIF-ELECTRE methods. Finally, an empirical study of job choices is implemented to validate the effectiveness of the current methods in the real world.


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