Identification of \(\lambda\)-fuzzy measure by genetic algorithms

DOI10.1016/0165-0114(94)00387-MzbMath0867.68093OpenAlexW2063579700MaRDI QIDQ1920330

Keong-Myung Lee, Hyung Lee-Kwang

Publication date: 11 August 1997

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-0114(94)00387-m

zbMATH Keywords

genetic algorithmsfuzzy measures

Mathematics Subject Classification ID

Theory of fuzzy sets, etc. (03E72) Pattern recognition, speech recognition (68T10) Fuzzy measure theory (28E10)

Related Items (12)

Sugeno fuzzy integral for finding fuzzy if-then classification rules ⋮ Partitioned fuzzy integral nested logit model for the Taiwan's internet telephony market ⋮ Fuzzy integral-based perceptron for two-class pattern classification problems ⋮ FUSING FUZZY ASSOCIATION RULE-BASED CLASSIFIERS USING SUGENO INTEGRAL WITH ORDERED WEIGHTED AVERAGING OPERATORS ⋮ Particle swarm optimization for determining fuzzy measures from data ⋮ A novel hybrid decision-making model for selecting locations in a fuzzy environment ⋮ On random generation of fuzzy measures ⋮ Using fuzzy integral for evaluating subjectively perceived travel costs in a traffic assignment model ⋮ Identification of \(\lambda\)-fuzzy measures using sampling design and genetic algorithms ⋮ Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction ⋮ Cloud-based ERP system selection based on extended probabilistic linguistic MULTIMOORA method and Choquet integral operator ⋮ On the defect of complementarity of fuzzy measures

Cites Work

• Sugeno's fuzzy measure and fuzzy clustering
• Applications of fuzzy set theory to mathematical programming
• The fuzzy integral
• An algorithm for identification of fuzzy measure
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Identification of \(\lambda\)-fuzzy measure by genetic algorithms