title   
  

Fuzzy extent analysis: comparison of defuzzification methods

Ahmed, Faran and Kılıç, Kemal (2016) Fuzzy extent analysis: comparison of defuzzification methods. In: 6th International Conference on Industrial Engineering and Operations Management (IEOM 2016), Kuala Lumpur, Malaysia

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
522Kb

Official URL: http://ieomsociety.org/ieom_2016/pdfs/269.pdf

Abstract

This paper conducts a comparison analysis of some of the most common defuzzification techniques which helps rank fuzzy weights calculated from fuzzy comparison matrices through Fuzzy Analytic Hierarchy Process. Ranking of weights calculated through FAHP algorithms is of critical importance as it directly effects the decision making process. More so ranking of fuzzy numbers is also important in data analysis, artificial intelligence, socioeconomic systems and other areas which utilize fuzzy logic. Many research articles have been published over the past five years solely focusing on this subject. This paper aims to conduct an empirical study on some of the most common defuzzification techniques and identify the best one in terms of accuracy of weights being calculated.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:Defuzzification; Fuzzy analytic hierarchy process; Fuzzy extent analysis; Ranking fuzzy numbers
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering > T58.6-58.62 Management information systems
ID Code:29622
Deposited By:Kemal Kılıç
Deposited On:11 Nov 2016 11:22
Last Modified:22 Jun 2017 12:40

Repository Staff Only: item control page