Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems 5; M.Eugenia Cornejo,László T. Kóczy,Eloísa Ramírez-P Book 2024 T

Insul島

,Efficiency of?Fuzzy Rough Set Decision Algorithms,fficiency, which is one of the most important notions associated with decision algorithms. This new notion can be used to know the usefulness of a fuzzy rough set decision algorithm, as well as to compare it with other fuzzy decision algorithms.

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A Software Tool for Solving the Traveling Salesman Problem and Related Non-fuzzy and Fuzzy Optimiza a software tool for solving the Traveling Salesman Problem and related non-fuzzy and fuzzy optimization problems. For this purpose the Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA) was implemented in this software which is a proven efficient method for handling the examined type of optimization problems.

載貨清單

Characterizing Clarify and Reduce Method by Means of Left-Sided Formal Concept Analysis,several research field, specifically, in Formal Concept Analysis. Several methods were developed with this goal, as Clarify-and-Reduce method. In this paper, we will prove that latter method is a particular case of a multi-adjoint FCA.

GEN

1860-949X gital Forensics, which have been developed within the framework of the COST Action DigForASP-CA17124 (digforasp.uca.es)..978-3-031-46981-7978-3-031-46979-4Series ISSN 1860-949X Series E-ISSN 1860-9503

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Power Consumption-Based Identification of Used Encryption Solution in IoT Environments,

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Computational Intelligence and Mathematics for Tackling Complex Problems 5

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狂熱語言

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阻擋

,Use of?Fuzzy Time Series to?Generate Linguistic Descriptions of?Noise Pollution,a set. In the definition of this set of linguistic labels the knowledge from an expert in the domain of application can be Incorporated. First, the input set of TS is represented by means of FTS whose values are fuzzy sets. Then, these fuzzy sets are transformed into linguistic labels taken from the