Knowledge-based systems and fuzzy boolean programming
โ Scribed by J. L. Castro; F. Herrera; J. L. Verdegay
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 619 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
โฆ Synopsis
This article discusses the applications of fuzzy boolean programming problems for representing and reasoning with propositional knowledge. The use of the models provided by the fuzzy boolean problems are proposed to answer imprecise questions in precisely stated knowledge-based systems. Also, the advantages of using fuzzy boolean programming instead of classical ones are presented in the framework of propositional knowledge.
๐ SIMILAR VOLUMES
Two major problems appear during the design of a framework. The first is related to synthesizing generic elements for a family of applications and connecting them to an integrated control flow. The second lies in the design of a powerful, modular, reliable architecture that is easy to (re)use and un
By applying recent advances in the standards for distributed computing, we have developed an architecture for a CORBA implementation of a library of platformindependent, sharable problem-solving methods and knowledge bases. The aim of this library is to allow developers to reuse these components acr
Models for fuzzy deductive reasoning are becoming important in the field of knowledgebased systems. Zadeh suggested a compositional rule of inference, also called Generalized Modus Ponens. In order to study the fine structure of this model, we test seven rules of implication, usually found in the fu
Software engineering aims at the construction of large systems of programs that are sound and reliable in the sense that these adjectives apply to products in other areas of engineering. Some difficulties of establishing parallel between software engineering and conventional engineering are pointed