DocumentCode
2166109
Title
Obtaining fuzzy membership functions and rule sets in fuzzy expert systems with AHP
Author
Mason, Anthony K. ; Korkmaz, Sevil
Author_Institution
Dept. of Ind. & Manufact. Eng., California Polytech. State Univ., San Luis Obispo, CA, USA
Volume
3
fYear
1998
fDate
11-14 Oct 1998
Firstpage
2315
Abstract
Discusses the use of the analytic hierarchy process (AHP) for obtaining membership functions and rules in constructing fuzzy expert systems. The issues are discussed in the context of fuzzy expert systems for cost estimation. AHP is compared with a less rigorous interview approach by means of an experiment using data obtained from expert construction cost estimators. Some of the likely advantages and disadvantages of an AHP approach are discussed
Keywords
decision theory; estimation theory; expert systems; fuzzy set theory; analytic hierarchy process; cost estimation; expert construction cost estimators; fuzzy expert systems; fuzzy membership functions; rule sets; Cost function; Data mining; Expert systems; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Information analysis; Manufacturing industries; Manufacturing processes; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1062-922X
Print_ISBN
0-7803-4778-1
Type
conf
DOI
10.1109/ICSMC.1998.725001
Filename
725001
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