International Journal of applied mathematics and computer science

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Paper details

Number 3 - September 2021
Volume 31 - 2021

Uncertainty in the conjunctive approach to fuzzy inference

Przemysław Kudłacik

Abstract
Fuzzy inference using the conjunctive approach is very popular in many practical applications. It is intuitive for engineers, simple to understand, and characterized by the lowest computational complexity. However, it leads to incorrect results in the cases when the relationship between a fact and a premise is undefined. This article analyses the problem thoroughly and provides several possible solutions. The drawbacks of uncertainty in the conjunctive approach are presented using fuzzy inference based on a fuzzy truth value, first introduced by Baldwin (1979c). The theory of inference is completed with a new truth function named 0-undefined for two-valued logic, which is further generalized into fuzzy logic as α-undefined. Eventually, the proposed modifications allow altering existing implementations of conjunctive fuzzy systems to interpret the undefined state, giving adequate results.

Keywords
fuzzy inference, conjunctive approach, fuzzy truth value

DOI
10.34768/amcs-2021-0029