Objectives of the Probabilistic Fuzzy Logic Algorithm
Fuzzy logic identifier of the short term objectives
... The problem of objective identification involves mapping the dependency of the objective decision on a set of multiple quantitative and qualitative factors. Consequently, mathematical models, which mostly consider only ...
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Probabilistic Fuzzy Logic based Stock Price Prediction
... Genetic Algorithm selects the most optimal subset of features among the large number of input features, and then selected features are given as an input to the SVM Light software ...
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An Advanced Certain Trust Model Using Fuzzy Logic and Probabilistic Logic theory
... on probabilistic logic and fuzzy ...of fuzzy logic to add fuzziness with certainty and average rating to calculate the trustworthiness of a system more ...using Fuzzy Associative ...
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Performance Enhancement with Fuzzy Logic and Neural Fuzzy Logic Algorithm in Heterogeneous Interconnected Network
... Research Scholar, Department of Computer Science, Saurashtra University, Rajkot, India 1 Ex. Dean & Director, Department of Computer Science, Kadi Sarva Vishwa vidyalaya, Gandhinagar, India 2 ABSTRACT: To achieve Always ...
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An abductive-inductive algorithm for probabilistic inductive logic programming
... Inductive Logic Programming (ILP) is concerned with learning logic programs that, together with a background knowledge, explain given examples (or ...not logic-based machine learning, is that the ...
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An anytime deduction algorithm for the probabilistic logic and entailment problems
... consistent) of both problems can be obtained after a linear program reformulation with an exponential number of variables (see, e.g., [7,1] ). Georgakopoulos et al. [8] propose to apply column generation techniques for ...
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Probabilistic fuzzy logic framework in reinforcement learning for decision making
... In this dissertation a new method for optimizing fuzzy inference systems based on reinforcement learning and probabilistic theory has been proposed. In this section the proposed meth[r] ...
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Description logic programs under probabilistic uncertainty and fuzzy vagueness
... The main contributions can be briefly summarized as follows: We present probabilistic fuzzy dl-programs, which combine i fuzzy description logics, ii stratified fuzzy logic programs, and [r] ...
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Fusion of Through-the-wall Radar Images based on Probabilistic Fuzzy Logic
... the probabilistic fuzzy logic automatically forms the membership functions using the Gaussian-Galton mixture ...existing fuzzy logic ...
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Enhanced Bees Algorithm with fuzzy logic and Kalman filtering
... • Algorithm development and evaluation: the standard Bees Algorithm was extended by adding a fuzzy logic system for greedy selection of local search sites and a Kalman filter for neighbourhood ...
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Fuzzy Logic Washout Algorithm Based on Serial Manipulator
... out algorithm, Fuzzy ...of fuzzy control is introduced to improve the classical wash out algorithm, and the motion error of the sensory organ of the vestibule of the human vestibule and the ...
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Fuzzy Logic based Intelligent Vertical Handoff Algorithm
... handoff algorithm must be needed to keep QoS as high as ...improved fuzzy logic based handoff initialization and decision making algorithm IVHA to achieve the optimal handover decision in ...
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Dynamic Fuzzy Logic Control of Genetic Algorithm Probabilities
... of Fuzzy Logic Controller Fuzzy logic [2] is widely used in machine ...”half-baked logic” or ”bogus logic”, but the ”fuzzy” part does not refer to a lack of rigor in the ...
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Development of fuzzy logic algorithm for water purification plant
... [email protected] Abstract: This paper propose the design of FLC algorithm for industrial application such application is water purification plant. In the water purification plant raw water or ground water ...
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CiteSeerX — Probabilistic logic and probabilistic networks
... 8.2.3 The Hill-Climbing Algorithm for Credal Networks In a credal network, each network parameter is tied to an interval rather than a sharp value. This defines a credal set over the involved variables and it ...
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Asymmetry width probabilistic fuzzy logic system for rigid flexible manipulator modeling
... The probabilistic fuzzy set (PFS) and probabilistic fuzzy logic system is designed for handling the uncertainties with stochastic and nonstochastic ...asymmetric probabilistic ...
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Fuzzy logic load forecasting with genetic algorithm parameter adjustment
... the algorithm was tested on five different test ...The algorithm indicated favourable results using the a priori knowledge for ...genetic algorithm indicated a marked improvement to the ...
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Self adjusting a Genetic Algorithm Using Fuzzy Logic Techniques
... 1 Fuzzy Inference System and a Type 2 Fuzzy Logic Inference System to select the operators of a Genetic Algorithm during execution time to solve a set of ten test functions from the ...the ...
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Multimodal biometric system based on fuzzy logic and genetic algorithm
... Biometric is used to acknowledge a person and it is derived from a Greek word Biometric. The word bio and metric together derive a meaning as life measurements, which are taken from the individual person then examined ...
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A Survey on Cancer in CHHATTISGARH USING Fuzzy Logic and Genetic Algorithm
... 1 M.Tech Student, Kalinga University, Kotni, Naya Raipur, Chhattisgarh, India 2 Assisstant Professor, Kalinga University, Kotni, Naya Raipur, Chhattisgarh, India ABSTRACT Cancer is the most common cause of death these ...
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