Selection of Defuzzification Method to Obtain Crisp Values for Representing Uncertain Data in A Modified Sweep Algorithm

W. Nurcahyo, Gunadi (2013) Selection of Defuzzification Method to Obtain Crisp Values for Representing Uncertain Data in A Modified Sweep Algorithm. Jurnal Elektron , 5 (2). pp. 13-28. ISSN 2085-6989

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Abstract

A study of using fuzzy-based parameters for solving public bus routing problem with uncertain demand is presented. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The uncertain data are represented as linguistic values which are fully dependent on the user’s preference. Fuzzy inference rules are assigned to relate the fuzzy parameters to the crisp values which are concerned in the route selection process. This paper focuses on the selection of the Defuzzification method to discover the most appropriate method for obtaining crisp values which represent uncertain data. We also present a step by step evaluation showing that the fuzzy-based parameters are capable to represent uncertain data replacing the use of exact data which common route selection algorithms usually use.

Item Type:Article
Subjects:G Technology > GI Electrical engineering. Electronics Nuclear engineering
Divisions:Luar PNP > Journal, Proceeding
ID Code:500
Deposited By:Mr. OP Repo-2 Puskom
Deposited On:30 Nov 2016 11:28
Last Modified:30 Nov 2016 11:28

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