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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.725001
