MODIFICATION OF CONCORDANCE ANALYSIS BASED ON STATISTICAL DATA AND RANKING OF LEVEL 1-α FUZZY NUMBERS-Reference-Cited by-同舟云学术

MODIFICATION OF CONCORDANCE ANALYSIS BASED ON STATISTICAL DATA AND RANKING OF LEVEL 1-α FUZZY NUMBERS

Published:2001-06 Issue:03 Volume:09 Page:313-340
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

YU MING-MIIN¹,YAO JING-SHING²

Affiliation:

1. Institute of Civil Engineering, National Taiwan University, Taipei, Taiwan, R.O.C.

2. Department of Mathematics, National Taiwan University, Taipei, Taiwan, R.O.C.

Abstract

In this paper, we adopt statistical data from sixteen experts to derive effectiveness matrix with level 1-α fuzzy numbers and to obtain fuzzy weights of m evaluation criteria. In application of level 1-α numbers ranking, the centroids of level 1-α fuzzy numbers and centroids of fuzzy weights will be used in modification of concordance analysis, thereby providing a better choice of alternatives.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488501000818

Reference17 articles.

1. Fuzzy programming approach to multicriteria decision making transportation problem

2. Multi-criteria decision analysis with fuzzy pairwise comparisons

3. Fuzzy hierarchical analysis

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