In three case studies on notions of fuzzy logic and fuzzy set theory (Dubois–Prade’s gradual elements, the entropy of a fuzzy set, and aggregation operators), the paper exemplifies methodological differences between traditional and deductive fuzzy logic. While traditional fuzzy logic admits various interpretations of membership degrees, deductive fuzzy logic always interprets them as degrees of...

In this paper the design and development of a hierarchical fuzzy logic Systems are investigated. A new method using genetic algorithms for design of hierarchical fuzzy logic systems are proposed. This research study is unique in the way proposed method is applied to design and development of hierarchical fuzzy logic systems. The proposed method is then applied to financial modelling and predict...

Lecture2: Fuzzy Logic and Inferencing.Download PDF 616KB. Fuzzy Logic as interfacing technique in hybrid AI-systems. Extracting knowledge from data using an intelligent fuzzy data browser.Fuzzy Logic in Artificial Intelligence. Karl Menger fuzzy logic and artificial intelligence An experiment in reflection.Fuzzy Systems in AI. This paper reviews motivations for introducing fuzzy sets and fuzzy ...

Ten questions on fuzzy logic as a formal logic of consequence under vagueness are discussed; a problem of deenability of truth is formulated. Recently I had a very interesting friendly e-mail discussion with Professor Parikh on vagueness and fuzzy logic. Parikh published several papers concerning the notion of vagueness. They contain critical remarks on fuzzy logic and its ability to formalize ...

Fuzzy logic is shown to be a very promising mathematical approach for modelling traffic and transportation processes characterized by subjectivity, ambiguity, uncertainty and imprecision. The basic premises of fuzzy logic systems are presented as well as a detailed analysis of fuzzy logic systems developed to solve various traffic and transportation planning problems. Emphasis is put on the imp...

One of the advantages systems based on fuzzy logic (fuzzy systems) is possibility a soft switch from one set values input parameters system to another, when different conclusions are drawn for sets these values. A type 2 direct generalization an ordinary set. In this paper, we review some branches theory type-2 and systems. We discuss operations sets, relations, centroids describe functional re...

A Contextual Approach for AI Systems Development p. 2 Typicality of Concept Instances: A Semiotic Way for Its Evaluation p. 3 Non-Conventional Conjunctions and Implications in Fuzzy Logic p. 16 A Comparative Fuzzy Modal Logic p. 27 Combining Neural Networks and Fuzzy Controllers p. 35 A Reinforcement Learning Algorithm based on 'Safety' p. 47 GAITS: Fuzzy Set-Based Algorithms for Computing Stra...

Abstract. Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based ∞ H control scheme for a class of uncertain nonlinear timedelay systems. Firstly, the fuzzy T-S model is used to approximate the nonlinear systems, and an observer is designed to observe the system states, and the fuzzy control law of the fuzzy mo...

Organizations rely on security experts to improve the security of their systems. These professionals use background knowledge and experience to align known threats and vulnerabilities before selecting mitigation options. The substantial depth of expertise in any one area (e.g., databases, networks, operating systems) precludes the possibility that an expert would have complete knowledge about a...

Vehicular ad hoc networks are an emerging technology with an extensive capability in various applications including vehicles safety, traffic management and intelligent transportation systems. Considering the high mobility of vehicles and their inhomogeneous distributions, designing an efficient routing protocol seems necessary. Given the fact that a road is crowded at some sections and is not c...