Welcome to the Journal of Intelligent and Fuzzy Systems’s special issue for “FUZZYSS’2009: 1st International Fuzzy Systems Symposium”. Since its introduction by Prof. Lotfi A. Zadeh fuzzy logic has found numerous applications in many diverse areas. Scientific research related to fuzzy logic and its extensions is still an open and promising active research area. There is still a very long way to...

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...

In order to handle noisy measurement data, an interval type-2 fuzzy logic system (T2FLS) is proposed. In this paper, the evolution of soft fault diagnosis for analog circuits is explored based on a type-2 fuzzy logic system (T2FLS) which can handle measurement uncertainties. In order to evaluate the values of the faulty components accurately, a type-2 fuzzy rule base is adopted to describe the ...

Conventional (type-1) fuzzy logic controllers have been commonly used in various power converter applications. Generally, in these controllers, the experience and knowledge of human experts are needed to decide parameters associated with the rule base and membership functions. The rule base and the membership function parameters may often mean different things to different experts. This may cau...

‘‘Is there a need for fuzzy logic?” is an issue which is associated with a long history of spirited discussions and debate. There are many misconceptions about fuzzy logic. Fuzzy logic is not fuzzy. Basically, fuzzy logic is a precise logic of imprecision and approximate reasoning. More specifically, fuzzy logic may be viewed as an attempt at formalization/mechanization of two remarkable human ...

This paper presents the development and design of a graphical user interface and a command line programming toolbox for construction, edition and observation of Interval Type-2 Fuzzy Inference Systems. The Interval Type-2 Fuzzy Logic System Toolbox (IT2FLS), is an environment for interval type-2 fuzzy logic inference system development. Tools that cover the different phases of the fuzzy system ...

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...

Communication protocols issues are one of the effective factors in communicated networks performance. One of challenging problem in CMT-SCTP which sends data by multipath concurrently is Receive Buffer Blocking. This problem has important role in data transmission speed in computer networks. In this paper, we propose a control method based on fuzzy logic so that can solve Receive Buffer Blockin...

higher education plays a very vital role in developing human resources as well as economic ones in every country. in so doing, the act of evaluation would help the decision makers as well as managers to spot the weaknesses to use the required provisions to work more effectively. the present study with a different approach toward the designing a comprehensive evaluation expert system using fuzzy...

in this paper, a new structure possessing the advantages of low-power consumption, less hardware and high-speed is proposed for fuzzy controller. the maximum output delay for general fuzzy logic controllers (flc) is about 86 ns corresponding to 11.63 mflips (fuzzy logic inference per second) while this amount of the delay in the designed fuzzy controller becomes 52ns that corresponds to 19.23 m...