An API for generalized constraint language based expert system

Author

Patel, Purvag ; Khorasani, Elham S. ; Rahimi, Shahram

Author_Institution

Dept. of Comput. Sci., Southern Illinois Univ., Carbondale, IL, USA

fYear

2012

fDate

6-8 Aug. 2012

Firstpage

1

Lastpage

6

Abstract

Human possess inherent capabilities to store, processes and reason on imprecise information in the form of perceptions in natural language. Generalized theory of uncertainty (GTU) is a methodology for reasoning, representing, and performing computations on such imprecise information. Generalized constraint, the basic data structure in GTU, is used to represent and propagate information. There is no previous attempt to implement this theoretical methodology. This paper reports the implementation of a Java API toolkit for generalized constraint language (GCL) that can be easily expanded for practical applications of GTU in the form of an expert system. Toolkit allows users to express various types of GTU concepts, such as generalized constraint, fuzzy graphs, fuzzy relations, and fuzzy arithmetic expression. Toolkit is fully integrated with Jess (Java Expert System Shell) and utilizes Jess Rete network for deductions on generalized constraints.

Keywords

Java; application program interfaces; expert system shells; inference mechanisms; natural language processing; uncertainty handling; GCL; GTU; Java API toolkit; Java expert system shell; Jess Rete network; fuzzy arithmetic expression; fuzzy graphs; fuzzy relations; generalized constraint language; generalized theory of uncertainty; information propagation; information representation; natural language; reasoning; Breast cancer; Cognition; Expert systems; Fuzzy logic; Java; Natural languages; Pragmatics; Generalized Constraint Language; Java API; computing with words; expert system; fuzzy logic;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American

Conference_Location

Berkeley, CA

ISSN

pending

Print_ISBN

978-1-4673-2336-9

Electronic_ISBN

pending

Type

conf

DOI

10.1109/NAFIPS.2012.6290997

Filename

6290997