文档介绍：IEEE TRANSACTIONS ON SYSTEMS, MAN, AND ICS—PART A: SYSTEMS AND HUMANS, VOL. 28, NO. 2, MARCH 1998 149
A Multilevel Weighted Fuzzy Reasoning
Algorithm for Expert Systems
D. S. Yeung and E. C. C. Tsang
Abstract—The applications of fuzzy production rules (FPR’s) s. It is based on the backward chaining technique
are rather limited if the relative degree of importance of each which offers the capabilities of handling different weights
proposition in the antecedent contributing to the consequent (., for different conclusions, fast processing time, provision of
the weight) is ignored or assumed to be equal. Unfortunately,
this is the case for many existing FPR’s and most existing fuzzy single or multiple goals, and minimal adjacent place (AP)
expert system development shells or environments offer no such and reversed immediate reachable place (RIRP) tables. This
functionality for users to incorporate different weights in the algorithm can be incorporated into a fuzzy expert system as
antecedent of FPR’s. This paper proposes to assign a weight an inference engine. In Section II, the definitions of the WFPR
parameter to each proposition in the antecedent of a FPR and and the fuzzy (FPN) model, and how the WFPR’s
a new fuzzy production rule evaluation method (FPREM) which
generalizes the traditional method by taking the weight factors are mapped into the FPN model, a