Fuzzy logic and fuzzy reasoning
A t Norm Fuzzy Logic for Approximate Reasoning
... t-norm fuzzy logic is presented, in which a triangular norm (t-norm) plays the role of a graduated conjunction ...this fuzzy logic we de- velop methods for fuzzy reasoning in ...
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Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic
... our Fuzzy Inference Mechanism with decision tree and k-nearest ...our Fuzzy Inference Mechanism ...Furthermore, fuzzy reasoning combined with data mining for retrieval presents several ...
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A fuzzy similarity inference method for fuzzy reasoning
... two fuzzy sets, i.e. fuzzy similarity ...measure, fuzzy similarity measure is more suitable for the presentation of uncertainty ...the fuzzy similarity measure, we propose a novel fuzzy ...
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Fuzzy Logic in Human Reasoning
... a fuzzy model for the reasoning process giving, through the calculation of probabilities and possibilities of all possible individuals’ profiles, a quantitative/qualitative view of their behaviour during ...
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Fuzzy Logic in KNIME Modules for Approximate Reasoning
... of fuzzy learning algorithms as ...of fuzzy concepts and learning algo- rithms in the remainder of this ...include fuzzy types and learning algorithms. Many specialized open source fuzzy ...
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Reasoning over decomposing fuzzy description logic
... the logic of description in ...obtain reasoning algorithms that pass in the scale to detect inconsistencies or logical correlations between data or data sources, and to compute the set of answers to ...
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A Fuzzy Logic Based Resolution Principal for Approximate Reasoning
... a fuzzy logic based for- malization of an approximate reasoning methodology in a fuzzy resolution, where we derive a truth value of A from both values of B → A and B by some ...t-norm ...
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Fuzzy Logic Reasoning System for Line Following Robot
... following, fuzzy logic control, on-off ...category, fuzzy logic offers a promising solution to handle environment ...uncertainties. Fuzzy inference system is a universal approximator ...
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fuzzy logic reasoning with uncertain information IT Magazine Jan 2002
... Fuzzy logic began with the work of Lofti Zadeh in 1965 and has roots in multi-valued logics developed by Godel, Lukasiewicz and Kleene, among ...and reasoning methods) as ...with fuzzy set ...
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Classical and Fuzzy Logic Evaluation of Students' Master Theses in Matlab Fuzzy Logic Toolbox Software: Dealing with Subjectivity in Human Reasoning
... on fuzzy logic methodology, conducted mostly in Matlab Fuzzy Logic Toolbox software and consisted of definition of variables, fuzzification, fuzzy inference, defuzzification and ...
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TugaTAC Broker: A Fuzzy Logic Adaptive Reasoning Agent for Energy Trading
... the fuzzy module disabled, updating the tariff prices with a random interest factor, useful for increasing the number of competitors without introducing other complex strategies as those presented by real ...
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Fuzzy-DL Reasoning over Unknown Fuzzy Degrees
... There are two sources of error in this scenario: the video analysis tools used to extract the concrete features (e.g., the appearance of human figures or of a microphone in the video) and the logic rules used to ...
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Approximate Reasoning in Fuzzy Resolution
... approximate reasoning methodol- ogy in fuzzy resolution. Approximate reasoning is a methodology which can deduce a specific information from general knowledge and specific ...approximate ...
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Fuzzy Expert Systems and Fuzzy Reasoning William Siler pdf
... formal logic is not concerned with objective truth in the ordinary sense of the word, but with consistency between premises and ...a fuzzy reasoning system based on necessity; it is included here ...
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Fuzzy Logic Model of Surprise
... through fuzzy inference systems, as fuzzy logic helps to capture the fuzzy and complex nature of ...of fuzzy inference systems respectively, and propose fuzzy inference rules as ...
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Insurance Applications of Fuzzy Logic
... (2000), Fuzzy logic (FL), in its wide sense, has four principal ...[fuzzy logic in its narrow sense], is a logical system which underlies approximate reasoning and inference from ...
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Fuzzy case-based reasoning system
... a fuzzy output. Appl. Sci. 2016, 6, 189 4 of 14 fuzzy inference involves all of the pieces that are described in Membership Functions, Logical Operations, and If‐Then ...a fuzzy expert system and ...
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Reasoning about Fuzzy Functional Dependencies
... to reasoning with FFDs. First, we extend the language of FFD Logic to allow empty left hand side formulae and we use this new well formed formulae as goals to be satisfied in a given FFD the- ...
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Fuzzy Description Logics from a Mathematical Fuzzy Logic point of view
... works, Fuzzy Logic is usually understood in the sense of Zadeh’s fuzzy logic, both in the wide sense and in the narrow ...sense, fuzzy logic, FLn, is a logical system which aims ...
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Using Fuzzy Logic Using Fuzzy Logic Using Fuzzy Logic Using Fuzzy Logic
... Keywords: AODV, Black Hole Attack, Fuzzy Logic, MANET. 1. Introduction MANET is a mobile ad-hoc[1] network which dynamically set up temporary paths between mobile nodes which acts both as router and hosts ...
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