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Archimedean Compensatory Fuzzy Logic as a Pluralist Contextual Theory Useful for Knowledge Discovery [PDF]

open access: possibleInternational 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

Similarity measure based on nonlinear compensatory model and fuzzy logic inference

2005 IEEE International Conference on Granular Computing, 2005
In 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
exaly   +2 more sources

Performance Analysis of Decision Aid Mechanisms for Hardware Bots Based on ELECTRE III and Compensatory Fuzzy Logic

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.
Claudia Gómez-Santillán   +2 more
exaly   +2 more sources

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
exaly   +2 more sources

A framework for tissue discrimination in Magnetic Resonance brain images based on predicates analysis and Compensatory Fuzzy Logic

International Journal of Intelligent Computing in Medical Sciences and Image Processing, 2008
Abstract One of the advantages of Magnetic Resonance images is their ability to discriminate tissues for their subsequent quantification. In this work, magnetic resonance brain images are analyzed pixelwise by fuzzy logical predicates, reproducing in a computational way the considerations that experts employ when they interpret these images, in order ...
Virginia Ballarin   +1 more
exaly   +2 more sources

Interpretability of an Archimedean Compensatory Fuzzy Logic in Data Analytics: Some Case Studies

Studies in Computational Intelligence, 2023
Rafael Alejandro Espín-Andrade   +2 more
exaly   +2 more sources

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