NDLI: Multi-objective particle swarm optimization algorithm and its application to the fuzzy rule based classifier design problem with the order based semantics of linguistic terms

Content Provider	IEEE Xplore Digital Library
Author	Phong Pham Dinh Ho Nguyen Cat Thuy Nguyen Thanh
Copyright Year	2013
Description	Author affiliation: Fac. of Inf. Technol., Univ. of Eng. & Technol., Ha Noi, Vietnam (Thuy Nguyen Thanh) \|\| Inst. of Inf. Technol., Ha Noi, Vietnam (Ho Nguyen Cat) \|\| Inf. Technol. Dept., Prevoir Vietnam, Ha Noi, Vietnam (Phong Pham Dinh)
Abstract	A method of designing fuzzy rule based classification systems (FRBCSs) using multi-objective optimization evolutionary algorithms (MOEAs) clearly depends on evolutionary quality. There are two types of such algorithms: Genetic Algorithms (GAs) and Swarm Intelligence (SI). Naturally arises a question how strongly utilized evolutionary algorithms influence on the efficiency of a method of designing FRBCS making this better than another. Particle swarm optimization (PSO) algorithm [13, 14] is among SI series. This paper represents an application of the multi-objective PSO algorithm with fitness sharing (MO-PSO) proposed in [8] to optimize the semantic parameters of linguistic variables and fuzzy rule selection in designing FRBCSs based on hedge algebras proposed as in [7] (using GSA-genetic simulated annealing algorithm). By simulation, MO-PSO is shown to be more efficient and produces better results than GSA-algorithm. That is to show a method of the FRBCS design is better than another one using MOEA, the same MOEA must be used.
Starting Page	12
Ending Page	17
File Size	1198678
Page Count	6
File Format	PDF
e-ISBN	9781479913503
DOI	10.1109/RIVF.2013.6719858
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-10
Publisher Place	Vietnam
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Fuzzy sets Fuzzy Classification System Semantics Hedge Algebras Classification algorithms PSO Optimization Particle Swarm Optimization Pragmatics
Content Type	Text
Resource Type	Article

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