FuzzyCLIPS
FuzzyCLIPS is a fuzzy logic extension of the CLIPS (C Language Integrated Production System) expert system shell from NASA. It was developed by the Integrated Reasoning Group of the Institute for Information Technology of the National Research Council of Canada and has been widely distributed for a number of years. It enhances CLIPS by providing a fuzzy reasoning capability that is fully integrated with CLIPS facts and inference engine allowing one to represent and manipulate fuzzy facts and rules. FuzzyCLIPS can deal with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy and normal terms to be freely mixed in the rules and facts of an expert system. The system uses two basic inexact concepts, fuzziness and uncertainty. It has provided a useful environment for developing fuzzy applications but it does require significant effort to update and maintain as new versions of CLIPS are released
(Source: http://en.wikipedia.org/wiki/FuzzyCLIPS)
Keywords for this software
References in zbMATH (referenced in 6 articles )
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Sorted by year (- Sfiris, D. S.; Papadopoulos, B. K.: Fuzzy estimators in expert systems (2012)
- Yuan, Yufei; Feldhamer, Stuart; Gafni, Amiram; Fyfe, Fran; Ludwin, David: The development and evaluation of a fuzzy logic expert system for renal transplantation assignment: Is this a useful tool? (2002)
- Sicilia, Miguel-Ángel; Dodero, Juan-Manuel: User stereotype modelling for approximate reasoning-based adaptive enterprise portals (2001)
- Sosnowski, Zenon A.: Chaining of fuzzy rules in RETE network (2001)
- Cross, Valerie; Firat, Aykut: Fuzzy objects for geographical information systems (2000)
- Chung, Hsing Tai; Schwartz, Daniel G.: A resolution-based system for symbolic approximate reasoning (1995)