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Distances and Similarities in Intuitionistic Fuzzy Sets

Distances and Similarities in Intuitionistic Fuzzy Sets
Author: Eulalia Szmidt
Publisher: Springer
Total Pages: 151
Release: 2013-07-23
Genre: Technology & Engineering
ISBN: 3319016407

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This book presents the state-of-the-art in theory and practice regarding similarity and distance measures for intuitionistic fuzzy sets. Quantifying similarity and distances is crucial for many applications, e.g. data mining, machine learning, decision making, and control. The work provides readers with a comprehensive set of theoretical concepts and practical tools for both defining and determining similarity between intuitionistic fuzzy sets. It describes an automatic algorithm for deriving intuitionistic fuzzy sets from data, which can aid in the analysis of information in large databases. The book also discusses other important applications, e.g. the use of similarity measures to evaluate the extent of agreement between experts in the context of decision making.


Intuitionistic Fuzzy Sets

Intuitionistic Fuzzy Sets
Author: Krassimir T. Atanassov
Publisher: Physica
Total Pages: 336
Release: 2013-03-20
Genre: Mathematics
ISBN: 3790818704

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In the beginning of 1983, I came across A. Kaufmann's book "Introduction to the theory of fuzzy sets" (Academic Press, New York, 1975). This was my first acquaintance with the fuzzy set theory. Then I tried to introduce a new component (which determines the degree of non-membership) in the definition of these sets and to study the properties of the new objects so defined. I defined ordinary operations as "n", "U", "+" and "." over the new sets, but I had began to look more seriously at them since April 1983, when I defined operators analogous to the modal operators of "necessity" and "possibility". The late George Gargov (7 April 1947 - 9 November 1996) is the "god father" of the sets I introduced - in fact, he has invented the name "intu itionistic fuzzy", motivated by the fact that the law of the excluded middle does not hold for them. Presently, intuitionistic fuzzy sets are an object of intensive research by scholars and scientists from over ten countries. This book is the first attempt for a more comprehensive and complete report on the intuitionistic fuzzy set theory and its more relevant applications in a variety of diverse fields. In this sense, it has also a referential character.


A Novel Similarity Measure for Interval-Valued Intuitionistic Fuzzy Sets and Its Applications

A Novel Similarity Measure for Interval-Valued Intuitionistic Fuzzy Sets and Its Applications
Author: Minxia Luo
Publisher: Infinite Study
Total Pages: 13
Release:
Genre: Mathematics
ISBN:

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In this paper, a novel similarity measure for interval-valued intuitionistic fuzzy sets is introduced, which is based on the transformed interval-valued intuitionistic triangle fuzzy numbers. Its superiority is shown by comparing the proposed similarity measure with some existing similarity measures by some numerical examples. Furthermore, the proposed similarity measure is applied to deal with pattern recognition and medical diagnosis problems.


Pythagorean Fuzzy Sets

Pythagorean Fuzzy Sets
Author: Harish Garg
Publisher: Springer Nature
Total Pages: 443
Release: 2021-07-22
Genre: Mathematics
ISBN: 9811619891

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This book presents a collection of recent research on topics related to Pythagorean fuzzy set, dealing with dynamic and complex decision-making problems. It discusses a wide range of theoretical and practical information to the latest research on Pythagorean fuzzy sets, allowing readers to gain an extensive understanding of both fundamentals and applications. It aims at solving various decision-making problems such as medical diagnosis, pattern recognition, construction problems, technology selection, and more, under the Pythagorean fuzzy environment, making it of much value to students, researchers, and professionals associated with the field.


Interval-Valued Intuitionistic Fuzzy Sets

Interval-Valued Intuitionistic Fuzzy Sets
Author: Krassimir T. Atanassov
Publisher: Springer Nature
Total Pages: 200
Release: 2019-09-21
Genre: Technology & Engineering
ISBN: 3030320901

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The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the founder of the intuitionistic fuzzy sets, Prof. Krassimir Atanassov, giving a special emphasis to the practical applications of this extension. A few interesting case studies, such as in the area of data mining, decision making and pattern recognition, among others, are discussed in detail. The book offers the first comprehensive guide on interval-valued intuitionistic fuzzy sets. By providing the readers with a thorough survey and important practical details, it is expected to support them in carrying out applied research and to encourage them to test the theory behind the sets for new advanced applications. The book is a valuable reference resource for graduate students and researchers alike.


Artificial Intelligence and Soft Computing — ICAISC 2004

Artificial Intelligence and Soft Computing — ICAISC 2004
Author: Leszek Rutkowski
Publisher: Springer Science & Business Media
Total Pages: 1233
Release: 2004-06-01
Genre: Computers
ISBN: 3540221239

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This book constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004, held in Zakopane, Poland in June 2004. The 172 revised contributed papers presented together with 17 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on neural networks, fuzzy systems, evolutionary algorithms, rough sets, soft computing in classification, image processing, robotics, multiagent systems, problems in AI, intelligent control, modeling and system identification, medical applications, mechanical applications, and applications in various fields.


Several Similarity Measures of Neutrosophic Sets

Several Similarity Measures of Neutrosophic Sets
Author: Said Broumi
Publisher: Infinite Study
Total Pages: 9
Release:
Genre:
ISBN:

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Smarandache (1995) defined the notion of neutrosophic sets, which is a generalization of Zadeh's fuzzy set and Atanassov's intuitionistic fuzzy set. In this paper, we first develop some similarity measures of neutrosophic sets.


Intelligent and Fuzzy Techniques: Smart and Innovative Solutions

Intelligent and Fuzzy Techniques: Smart and Innovative Solutions
Author: Cengiz Kahraman
Publisher: Springer Nature
Total Pages: 1701
Release: 2020-07-10
Genre: Technology & Engineering
ISBN: 3030511561

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This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.


The Consistency between Cross-Entropy and Distance Measures in Fuzzy Sets

The Consistency between Cross-Entropy and Distance Measures in Fuzzy Sets
Author: Yameng Wang
Publisher: Infinite Study
Total Pages: 11
Release:
Genre: Mathematics
ISBN:

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The processing of uncertain information is increasingly becoming a hot topic in the artificial intelligence field, and the information measures of uncertainty information processing are also becoming of importance. In the process of decision-making, decision-makers make decisions mostly according to information measures such as similarity, distance, entropy, and cross-entropy in order to choose the best one. However, we found that many researchers apply cross-entropy to multi-attribute decision-making according to the minimum principle, which is in accordance with the principle of distance measures.


Distance Measures between the Interval-Valued Complex Fuzzy Sets

Distance Measures between the Interval-Valued Complex Fuzzy Sets
Author: Songsong Dai
Publisher: Infinite Study
Total Pages: 12
Release:
Genre: Mathematics
ISBN:

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Complex fuzzy set (CFS) is a recent development in the field of fuzzy set (FS) theory. The significance of CFS lies in the fact that CFS assigned membership grades from a unit circle in the complex plane, i.e., in the form of a complex number whose amplitude term belongs to a [0, 1] interval. The interval-valued complex fuzzy set (IVCFS) is one of the extensions of the CFS in which the amplitude term is extended from the real numbers to the interval-valued numbers. The novelty of IVCFS lies in its larger range comparative to CFS. We often use fuzzy distance measures to solve some problems in our daily life. Hence, this paper develops some series of distance measures between IVCFSs by using Hamming and Euclidean metrics. The boundaries of these distance measures for IVCFSs are obtained. Finally, we study two geometric properties include rotational invariance and reflectional invariance of these distance measures.