# Free and projects on fuzzy logic

**COCOMO cost model using fuzzy logic**

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Abstract When the COCOMO (Constructive Cost Model) was published at the beginning of the eighties, fuzzy logic was not grounded on solid theoretical foundations. This was not been achieved until Zadeh and others did so in the nineties. Thus, it is not surprising that

**Maximum power point tracking using a fuzzy logic control scheme**

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This paper proposes an intelligent control method for the maximum power point tracking (MPPT) of a photovoltaic system under variable temperature and insolation conditions. This method uses a fuzzy logic controller applied to a DC-DC converter device. The different

**Adaptation of genetic algorithm parameters based on fuzzy logic controllers**

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The genetic algorithm behaviour is determined by the exploitation and exploration relationship kept throughout the run. Adaptive genetic algorithms have been built for inducing exploitation/exploration relationships that avoid the premature convergenceWith ever increasing frequency, financial studies in business are acquiring greater importance in the field of management as a consequence of the complexity of the problems arising in present day society. The old treaties that included certain aspects on the raising

**Edge detection in digital images using fuzzy logic technique**

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The fuzzy technique is an operator introduced in order to simulate at a mathematical level the compensatory behavior in process of decision making or subjective evaluation. The following paper introduces such operators on hand of computer vision application. In this

**What is mathematical fuzzy logic**

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The paper comments on the development and present state of fuzzy logic as a kind (branch) of mathematical logic . It is meant just as a contribution to the discussion on what fuzzy logic is, not as a systematic presentation of mathematical fuzzy logic . 2005 Elsevier BV All rights

**Intelligent systems with interval type-2 fuzzy logic**

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Uncertainty is an inherent part of intelligent systems used in real-world applications. The use of new methods for handling incomplete information is of fundamental importance. Type-1 fuzzy sets used in conventional fuzzy systems cannot fully handle the uncertainties that are

**Introduction to fuzzy logic**

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Fuzzy logic is an extension of Boolean logic by Lotfi Zadeh in 1965 based on the mathematical theory of fuzzy sets, which is a generalization of the classical set theory. By introducing the notion of degree in the verification of a condition, thus enabling a condition to

**Discovering the world with fuzzy logic**

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Page 1. Vilem Noväk Irina Perfilieva (Eds.) Discovering the World with Fuzzy Logic With Contents Preface V Part I. Fuzzy Logic Approaches to Human-Consistent Systems

**Network intrusion detection system using fuzzy logic**

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ABSTRACT IDS which are increasingly a key part of system defense are used to identify abnormal activities in a computer system. In general, the traditional intrusion detection relies on the extensive knowledge of security experts, in particular, on their familiarity with the

**A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic**

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A robust new approach for describing and segmenting landforms which is directly applicable to precision farming has been developed in Alberta. The model uses derivatives computed from DEMs and a fuzzy rule base to identify up to 15 morphologically defined landform

**A fuzzy description logic**

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Logics (DLs, for short) allow reasoning about individuals and concepts, ie set of individuals with common properties. Typically, DLs are limited to dealing with crisp, well defined concepts. That is, concepts for which the problem whether an individual is an instance of it is

**Optimum design of fuzzy logic controllers using genetic algorithms**

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This paper describes the use of genetic algorithms (GAs) to design fuzzy logic controllers (FLCs). Tvo GAs are considered, a basic GA and a modified GA. The modified GA employs cross breedingbetiveen different gene populations to produce a fitter population

**On the syntactico-semantical completeness of first-order fuzzy logic . II. Main results**

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This paper is a continuation of Part I . First, the extension of fuzzy theories is studied and the important deduction theorem is proved which is a generalisation of the corresponding classical one. In Section 7. algebraic properties of the set of formulae are studied. This

**Implementation of conjunctive and disjunctive fuzzy logic rules with neural networks**

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The use of fuzzy logic to model and manage uncertainty in a rule-based system places high computational demands on an inference engine. In an earlier paper, we introduced trainable neural network structures for fuzzy logic . These networks can learn and extrapolate complex

**Real-life applications of fuzzy logic**

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The theory of fuzzy logic is based on the notion of relative graded membership, as inspired by the processes of human perception and cognition. Lotfi A. Zadeh published his first famous research paper on fuzzy sets in 1965. Fuzzy logic can deal with information arising

**A generalized direct approach for designing fuzzy logic controllers in Matlab/Simulink GUI environment**

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A straightforward approach for designing fuzzy logic based controllers in Matlab/Simulink environment is presented in this paper. The approach focuses on the fuzzy rule base construction using the time varying values of control error (e) and its change (∆ e) mapped

**Fuzzy logic -based map matching algorithm for vehicle navigation system in urban canyons**

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With the rapid progress in the development of wireless technology, Global Positioning System (GPS) based vehicle navigation systems are being widely deployed in automobiles to serve the location-based needs of users and for efficient traffic management. An essential

**Direct torque control for induction motor using fuzzy logic**

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In this paper we propose an approach to improve the direct torque control (DTC) of an induction motor (IM). The proposed DTC is based on fuzzy logic technique switching table, is described compared with conventional direct torque control (DTC). To test the fuzzy control This book was thought as a non-conventional first course textbook in Fuzzy Logic for engineers ending with an introduction to one of the most fruitful topics arisen from it, Fuzzy Control. It is from the teachings strategy of the authors, summarized by Nothing can

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