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Compensatory Fuzzy Logic Inference
Studies in Computational Intelligence, 2014 This chapter deals with specific way of inferences possible in the framework of Compensatory Fuzzy Logic (CFL). It introduces new and useful inference systems based on CFL. They will be called Compensatory Inference Systems (CIS). It is a generalization of the deduction like in mathematical logic, with implication operators found in the literature ...
Rafael Alejandro Espín Andrade +3 more
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Studies in Computational Intelligence, 2021 The development of ubiquity in computing demands more intelligence from connected devices to perform tasks better. Users usually lookout for devices that proactively aid in an environment, making decisions as themselves. Such cognitive models for hardware agents have increased in recent years.
Nelson Rangel-Valdez +2 more
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Archimedean Compensatory Fuzzy Logic as a Pluralist Contextual Theory Useful for Knowledge Discovery [PDF]
International Journal of Fuzzy Systems, 2021 Compensatory Fuzzy Logic is a transdisciplinary axiomatic theory, different from the Classical Norm and Conorm approach to improving interpretability by natural language. Archimedean Compensatory Fuzzy Logic (ACFL), introduced recently, uses different properties and interpretations of involved truth values. Membership functions involved are not studied
Rafael Alejandro Espín-Andrade +2 more
exaly +2 more sources
ARITHMETIC MEAN BASED COMPENSATORY FUZZY LOGIC
International Journal of Computational Intelligence and Applications, 2011 Fuzzy Logic is a multi-valued logic model based on fuzzy set theory, which may be considered as an extension of Boolean Logic. One of the fields of this theory is the Compensatory Fuzzy Logic, based on the removal of some axioms in order to achieve a sensitive and idempotent multi-valued system.
Agustina Bouchet +4 more
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Knowledge Discovery Using an Evolutionary Algorithm and Compensatory Fuzzy Logic
, 2021 Database Knowledge Discovery attention has been growing last decades using different approaches as part of a new era when information is multiplied in proportion and importance. Fuzzy Logic predicates approach is one of them, fundamental because of their interpretability properties.
Carlos Eric Llorente-Peralta +2 more
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Knowledge-Based SystemsOne of the main challenges in applying preference-based approaches to many-objective optimization problems is that decision makers (DMs) initially have only a vague notion of the solution they want and can obtain. In this paper, we propose an interactive
Gilberto Rivera +2 more
exaly +3 more sources
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Similarity measure based on nonlinear compensatory model and fuzzy logic inference
2005 IEEE International Conference on Granular Computing, 2005In this paper, we propose a novel nonlinear nearest-neighbor (NNN) matching for similarity measure based on nonlinear compensatory (NC) choice model. Based on fuzzy logic inference, we propose NC choice model which granulates the psychological boundary between linear and nonlinear compensatory in the decision-making.
Y. Zeng, M. Zhou, R. Wang
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Discovering Knowledge by Fuzzy Predicates in Compensatory Fuzzy Logic Using Metaheuristic Algorithms
, 2014 Compensatory Fuzzy Logic (CFL) is a logical system that enables an optimal way of modeling knowledge. Its axiomatic character enables the work of natural language translation of logic, so it is used in knowledge discovery and decision-making.Obtaining LDC predicates with high values of truth is a general and flexible approach that can be used to ...
Marlies Martínez Alonso +3 more
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