Fuzzy second-generation expert system design for IE/OR/MS

Author

Turksen, I.B.

fYear

1992

fDate

8-12 Mar 1992

Firstpage

779

Lastpage

786

Abstract

Limitations on the representation of knowledge, and hence the inference methods, naturally limit the domains of the first-generation expert systems. In response to these limitations, fuzzy expert systems or the second-generation of expert systems provide two essential and unique advantages in the design, development, and implementation of expert systems: (1) fuzzy knowledge representation and (2) fuzzy inference methods. It is suggested that second-generation expert systems be designed and implemented with the expressive powers of representation and improved inference methods based on fuzzy logic. A number of research topics and application areas are identified

Keywords

expert systems; fuzzy logic; inference mechanisms; knowledge representation; management science; operations research; fuzzy inference methods; fuzzy knowledge representation; fuzzy logic; fuzzy second-generation expert system; industrial engineering; management science; operations research; Artificial intelligence; Costs; Engineering management; Expert systems; Fuzzy logic; Fuzzy systems; Hybrid intelligent systems; Industrial engineering; Knowledge representation; Mathematical model; Natural languages;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1992., IEEE International Conference on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0236-2

Type

conf

DOI

10.1109/FUZZY.1992.258759

Filename

258759