Results 11 to 20 of about 670,776 (291)

Fuzzy entropy clustering

open access: yesNinth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 2000
The well-known generalization of hard C-means (HCM) clustering is fuzzy C-means (FCM) clustering where a weight exponent on each fuzzy membership is introduced as the degree of fuzziness.
Wagner, Michael, Tran, Dat; id_orcid
core   +2 more sources

On multivalued fuzzy entropies

open access: yesFuzzy Sets and Systems, 2015
We analyze an axiomatic system that justifies the introduction of the concept of multivalued fuzzy entropy. This is a natural extension of the concept of fuzzy entropy given by De Luca and Termini.
RomanFlores, H, Bassanezi, RC
core   +4 more sources

Entropy of Fuzzy Partitions and Entropy of Fuzzy Dynamical Systems [PDF]

open access: yesEntropy, 2016
In the paper we define three kinds of entropy of a fuzzy dynamical system using different entropies of fuzzy partitions. It is shown that different definitions of the entropy of fuzzy partitions lead to different notions of entropies of fuzzy dynamical ...
Dagmar Markechová, Beloslav Riečan
doaj   +3 more sources

Two Classes of Entropy Measures for Complex Fuzzy Sets

open access: yesMathematics, 2019
Complex fuzzy sets are characterized by complex-valued membership functions, whose range is extended from the traditional fuzzy range of [0,1] to the unit circle in the complex plane.
Lvqing Bi   +3 more
doaj   +2 more sources

Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]

open access: yes, 2007
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen   +5 more
core   +5 more sources

Centered and Averaged Fuzzy Entropy to Improve Fuzzy Entropy Precision. [PDF]

open access: yesEntropy (Basel), 2018
Several entropy measures are now widely used to analyze real-world time series. Among them, we can cite approximate entropy, sample entropy and fuzzy entropy (FuzzyEn), the latter one being probably the most efficient among the three. However, FuzzyEn precision depends on the number of samples in the data under study.
Girault JM, Humeau-Heurtier A.
europepmc   +6 more sources

AN IMPROVED METHODOLOGY FOR MULTI-CRITERIA EVALUATIONS IN THE SHIPPING INDUSTRY

open access: yesBrodogradnja, 2016
This paper presents a reliable, easy and more objective approach for ranking and determining preference in a multi-criteria decision-making problem within the shipping industry.
Daniel Osezua Aikhuele   +1 more
doaj   +1 more source

Exponential entropy on intuitionistic fuzzy sets [PDF]

open access: yes, 2013
summary:In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy entropy measure is proposed in the setting of Atanassov's intuitionistic fuzzy set theory. This measure is a generalized version of exponential fuzzy
Verma, Rajkumar, Sharma, Bhu Dev
core   +1 more source

Relations among similarity measure, subsethood measure and fuzzy entropy [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2013
In this paper we study the relations among similarity measure, subsethood measure and fuzzy entropy and present several propositions that similarity measure, subsethood measure and fuzzy entropy can be transformed by each other based on their axiomatic ...
Yingfang Li, Keyun Qin, Xingxing He
doaj   +1 more source

A Novel Similarity-Based Multi-Attribute Group Decision-Making Method in a Probabilistic Hesitant Fuzzy Environment

open access: yesIEEE Access, 2022
Probabilistic hesitant fuzzy sets (PHFSs), a significant expansion of hesitant fuzzy sets (HFSs), were suggested and intensively explored in order to address the problem of missing preference information. Based on previous research on PHFS, we discovered
Yubo Hu, Zhiqiang Pang
doaj   +1 more source

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