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ON LOGIC AND FUZZY LOGIC

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1993
This paper mainly consists of a review of some basic tools of Inexact Inference, its reduction to classical logic and its cautious use of Fuzzy Logic. Those tools are the concept of Conditional Relation, its greatest case of Material Conditional and the concept of Logical-States as possible worlds of "true" elements. Some recent results characterizing
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Fuzzy logic and nursing

Nursing Philosophy, 2003
Abstract  In empiricism, there are only two answers for a question: black or white. Yet, subjective meanings of human behaviours and responses toward health and illness cannot be simply explained with black and white. Gray zones are needed because they are characterized by complexity and require a contextual understanding. In this paper, we present and
Eun-Ok Im, Wonshik Chee
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Fuzzy logic control

International Journal of Systems Science, 1993
In recent years, fuzzy control has been proposed as an alternative approach to traditional process control techniques. The construction and use of fuzzy logic controllers for dynamic processes is explored. Many references to fundamental works on this subject are given but the paper is restricted to a presentation of practical results.
Ragot, José, Lamotte, Michel
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Fuzzy logic and fuzzy reasoning

1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, 1979
The concepts of truth value restriction and fuzzy logical relation are used to give a general approach to fuzzy logic and also fuzzy reasoning involving propositions with imprecise or vague description.
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Fuzzy logic or lukasiewicz logic: A clarification

Fuzzy Sets and Systems, 1994
Pavelka [10] had shown in 1979 that the only natural way of formalizing fuzzy logic for truth-value in the unit interval [0,1] is by using Lukasiewicz's implication operator a→b = min{1, 1−a+b} or some isomorphic form of it A considerable number of other papers around the same time had attempted to formulate alternative definitions for a→b by giving ...
Jianhua Chen, Sukhamay Kundu
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JOINING GÖDEL AND ZADEH FUZZY LOGICS IN FUZZY DESCRIPTION LOGICS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012
Ontologies have succeeded as a knowledge representation formalism in many domains of application. Nevertheless, they are not suitable to represent vague or imprecise information. To overcome this limitation, several extensions to classical ontologies based on fuzzy logic have been proposed.
Bobillo F   +3 more
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fuzzy logic or fuzzy application? a response to Stockemer’s ‘fuzzy set or fuzzy logic?

European Political Science, 2016
In a recent article in this journal, Stockemer characterizes fuzzy-set Qualitative Comparative Analysis (fsQCA) in comparison with Ordinary Least Squares regression as a ‘poor methodological choice’ because of its ‘suboptimal nature’ for the study of descriptive female representation in national assemblies across the globe.
Jonas Buche   +2 more
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Fuzzy Logic as Logic

1995
Formal logical calculi underlying fuzzy logic are investigated, main attention being paid to Lukasiewicz’s logic and (a variant of) its generalization by Pavelka. The paper has an introductory and survey character.
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Combining Fuzzy Description Logics and Fuzzy Logic Programs

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008
Integrating rules and ontologies has become a key requirement for applications in the semantic Web. Web applications in general have also motivated another requirement, that of handling uncertainty, an intrinsic feature of the real world. In this paper, we present a fuzzy extension to description logic programs (DLP), called fhDLP.
Jidi Zhao, Harold Boley
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A comparative study on Fuzzy Logic and Intuitionistic Fuzzy Logic

2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2018
Fuzzy Logic (FL) deals with uncertainty, vagueness, imprecision, partial truth etc while reasoning process. It helps in making decision with imprecise and incomplete information. At the other end, we have intuitionistic fuzzy logic which is the superset of fuzzy logic.
Shahla Tarannum, Suraiya Jabin
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