The foundations of rule-based computations in fuzzy models
Since their inception, the main purpose of expert systems has been emulate human expert
reasoning in problem solving. After the first developments, the researchers realized the …
reasoning in problem solving. After the first developments, the researchers realized the …
Fuzzy rule-based systems
L Magdalena - Springer handbook of computational intelligence, 2015 - Springer
Fuzzy rule-based systems are one of the most important areas of application of fuzzy sets
and fuzzy logic. Constituting an extension of classical rule-based systems, these have been …
and fuzzy logic. Constituting an extension of classical rule-based systems, these have been …
Fuzzy inference
B Bede, B Bede - Mathematics of Fuzzy Sets and Fuzzy Logic, 2013 - Springer
Abstract Reasoning with imprecise information is one of the central topics of fuzzy logic. A
fuzzy inference system consists of linguistic variables, fuzzy rules and a fuzzy inference …
fuzzy inference system consists of linguistic variables, fuzzy rules and a fuzzy inference …
Fuzzy sets as a tool for modeling
RR Yager - Computer Science Today: Recent Trends and …, 2005 - Springer
A introduction to the basic concepts of fuzzy set theory is first provided. We next discuss
some ideas from the theory of of approximate reasoning. As we shall see it is this theory …
some ideas from the theory of of approximate reasoning. As we shall see it is this theory …
Soft computing, fuzzy logic, and artificial intelligence
Fuzzy logic (FL) was invented by a leading expert in control engineering who realized that
control theory had become beautiful enough to carry on its development on its own, without …
control theory had become beautiful enough to carry on its development on its own, without …
Fuzzy sets in approximate reasoning: A personal view
Fuzzy rule-based approximate reasoning is attracting more and more interest from
researchers and practitioners nowadays. Zadeh (1973, 1975, 1979a) provided the basic …
researchers and practitioners nowadays. Zadeh (1973, 1975, 1979a) provided the basic …
Fuzzy logic
O Castillo, P Melin, O Castillo, P Melin - Soft Computing for Control of Non …, 2001 - Springer
This chapter introduces the basic concepts, notation, and basic operations for fuzzy sets that
will be needed in the following chapters. Since research on Fuzzy Set Theory has been …
will be needed in the following chapters. Since research on Fuzzy Set Theory has been …
Fuzzy sets in approximate reasoning, Part 1: Inference with possibility distributions
A survey of about twenty years of approximate reasoning based on fuzzy logic and
possibility theory is proposed. It is not only made as an annotated bibliography of past …
possibility theory is proposed. It is not only made as an annotated bibliography of past …
Fuzzy sets in approximate reasoning, Part 1: Inference with possibility distributions
A survey of about twenty years of approximate reasoning based on fuzzy logic and
possibility theory is proposed. It is not only made as an annotated bibliography of past …
possibility theory is proposed. It is not only made as an annotated bibliography of past …
On monotonic sufficient conditions of fuzzy inference systems and their applications
An important and difficult issue in designing a Fuzzy Inference System (FIS) is the
specification of fuzzy sets and fuzzy rules. In this paper, two useful qualitative properties of …
specification of fuzzy sets and fuzzy rules. In this paper, two useful qualitative properties of …