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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
openaire   +1 more source

Compensatory Fuzzy Logic with Single Valued Neutrosophic Numbers in the Analysis of University Strategic Management

International Journal of Neutrosophic Science, 2022
In today's university management, it is necessary to promote synchronous leadership as a strategy in the current environment deteriorated by the crisis caused by Covid-19. Therefore, the need to diagnose the strategic management of a higher education institution in Quito, Ecuador, which applies synchronous leadership in university management as part of
Jesús E. Ricardo   +2 more
openaire   +1 more source

Strategies for the Development and Success of Women Entrepreneurs Through SWOT Analysis and Compensatory Fuzzy Logic

2021
This article shows a formal system that establishes logical priorities useful for decision making in the implementation of planned actions, thus was selected the order of strategies to implement in the organization of women entrepreneurs; these strategies were proposed based on the results of the study conducted in the state of Coahuila, which analyzes
Magaly Oyervides Villarreal   +3 more
openaire   +1 more source

A functional-link based interval type-2 compensatory fuzzy neural network for nonlinear system modeling

open access: yes, 2011
In this paper, the Functional-Link based Interval Type-2 Compensatory Fuzzy Neural Network (FLIT2CFNN) is a six-layer structure, which combines compensatory fuzzy reasoning method, and the consequent part is combined the proposed functional-link neural ...
Chin-Teng Lin   +2 more
exaly   +2 more sources

Method for Treatment and Its Incidence in the Change of Social Rehabilitation Regime Using Compensatory Fuzzy Logic

2021
Throughout life, people can make mistakes that lead to the deprivation of freedom. When people pay off their debt to society, they join a social rehabilitation regime. However, in all cases, complete rehabilitation is not obtained. This research aims to develop a method for treatment and its impact on changing the social rehabilitation regimen.
José Rodolfo Calle Santander   +2 more
openaire   +1 more source

An Approach to Knowledge Discovery for Fault Detection by Using Compensatory Fuzzy Logic

2019
Failure diagnosis and prevention are crucial areas of interest for the proposal of innovative methods and techniques that can help to increase the availability of industrial machinery and other complex systems. In this work we propose a Knowledge Discovery scheme, based on a Compensatory Fuzzy Logic (CFL), for failure detection and prevention.
Francisco G. Salas   +3 more
openaire   +1 more source

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
openaire   +1 more source

Company Sustainability Reporting: Decision Making Model Utilising Compensatory Fuzzy Logic

2014
Sustainability Report (SR) can be used form organizations to achieve better understanding, measurement and evaluation of risks and opportunities, having financial and nonfinancial nature (e.g. biodiversity, corporate governance, corporate social responsibility, natural resources depletion, etc.).
Desislava Milenova Dechkova   +1 more
openaire   +1 more source

Categorization of Unlabelled Customer-Related Data Using Methods from Compensatory Fuzzy Logic

2014
This paper introduces an approach to enable categorization of unlabelled customer-related data by using methods from Compensatory Fuzzy Logic. At first, a very general and adaptable model, which is used to analyze customer-related data, is demonstrated. This model is called the WWWA(A)-model.
Sven Kölpin, Daniel Stamer
openaire   +1 more source

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