CSMD: Centralized Surface Matching Degree, a New Approach for Determining Matching Degree in Fuzzy Systems

Author

Alizadeh, Hosein ; Parvin, Hamid ; Minaei-Bidgoli, Behrouz ; Mozayani, Naser

Author_Institution

Dept. of Comput. Eng., Iran Univ. of Sci. & Technol., Tehran

Volume

2

fYear

2008

fDate

2-4 Sept. 2008

Firstpage

339

Lastpage

344

Abstract

Generally, the input of fuzzy system can be crisp or fuzzy. Most of fuzzy systems depend on crisp input while a few of them are based on fuzzy input. The max-min algorithm is used to identify matching degree, when the input is fuzzy. This method suffers from drawbacks which are discussed in this paper. We propose an alternative approach which is called centralized surface matching degree (CSMD). It can remedy all disadvantages of the common approach. This new method applies an adaptive and parametric equation for determining matching degree that can be adapted to any kind of applications.

Keywords

fuzzy set theory; inference mechanisms; minimax techniques; centralized surface matching degree; fuzzy systems; max-min algorithm; parametric equation; Computer networks; Convergence; Engines; Equations; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Impedance matching; Information management;

fLanguage

English

Publisher

ieee

Conference_Titel

Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on

Conference_Location

Gyeongju

Print_ISBN

978-0-7695-3322-3

Type

conf

DOI

10.1109/NCM.2008.227

Filename

4624165