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 Lotfi Asker Zadeh

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Bibliometrics: publication history
Average citations per article22.63
Citation Count2,829
Publication count125
Publication years1971-2017
Available for download7
Average downloads per article1,352.00
Downloads (cumulative)9,464
Downloads (12 Months)228
Downloads (6 Weeks)27
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127 results found Export Results: bibtexendnoteacmrefcsv

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1
June 2018
Bibliometrics:
Citation Count: 0

This book reports on advanced theories and cutting-edge applications in the field of soft computing. The individual chapters, written by leading researchers, are based on contributions presented during the 4th World Conference on Soft Computing, held May 25-27, 2014, in Berkeley. The book covers a wealth of key topics in ...

2
May 2018
Bibliometrics:
Citation Count: 0

This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth ...

3
January 2017 International Journal of Cognitive Informatics and Natural Intelligence: Volume 11 Issue 1, January 2017
Publisher: IGI Global
Bibliometrics:
Citation Count: 0

Basic studies in denotational mathematics and mathematical engineering have led to the theory of abstract intelligence aI, which is a set of mathematical models of natural and computational intelligence in cognitive informatics CI and cognitive computing CC. Abstract intelligence triggers the recent breakthroughs in cognitive systems such as cognitive computers, ...
Keywords: Computational Intelligence, Denotational Mathematics, Artificial Intelligence, Brain-Inspired Systems, Mathematical Engineering, Abstract Intelligence, Applications, Cognitive Computers, Cognitive Engineering, Cognitive Informatics, Cognitive Robotics, Cognitive Systems

4
October 2016 International Journal of Cognitive Informatics and Natural Intelligence: Volume 10 Issue 4, October 2016
Publisher: IGI Global
Bibliometrics:
Citation Count: 3

The theme of IEEE ICCI*CC'16 on Cognitive Informatics CI and Cognitive Computing CC was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in ...
Keywords: Computational Intelligence, Deep Reasoning, Denotational Mathematics, Knowledge Learning, Artificial Intelligence, Brain-Inspired Systems, Deep Learning, Applications, Cognitive Computers, Cognitive Engineering, CWW, Cognitive Informatics, Cognitive Robotics, Cognitive Systems, Deep Thinking

5
September 2016
Bibliometrics:
Citation Count: 0

The book reports on the latest advances and challenges of soft computing. Itgathers original scientific contributions written by top scientists in the fieldand covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data analysis.

6
August 2016 Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal: Volume 354 Issue C, August 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

This paper presents a brief exposition of a version of the concept of stratification, call it CST for short. In our approach to stratification, CST is a computational system in which the objects of computation are strata of data. Usually, the strata are nested or stacked with nested strata centering ...
Keywords: Target set reachability, Stratification, Incremental enlargement principle, Multiobjective optimization

7
December 2015 Fuzzy Sets and Systems: Volume 281 Issue C, December 2015
Publisher: Elsevier North-Holland, Inc.
Bibliometrics:
Citation Count: 2

This paper marks the 50th anniversary of the publication of my first paper on fuzzy sets, "Fuzzy sets," Information and Control, 1965. What is of historical interest is that initially-and for some time thereafter-my paper was an object of indifference, skepticism and derision. A prominent school of thought claimed that ...
Keywords: Approximate reasoning, Fuzzy logic, Fuzzy set theory, Possibility theory

8
February 2015 Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal: Volume 294 Issue C, February 2015
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 1

The conventional wisdom is that the concept of information is closely related to the concept of probability. In Shannon's information theory, information is equated to a reduction in entropy-a probabilistic concept. In this paper, a different view of information is put on the table. Information is equated to restriction. More ...
Keywords: Information, Possibilistic information, Information principle, Restriction, Bimodal information, Probabilistic information

9
July 2014
Bibliometrics:
Citation Count: 0

The book reports on the latest advances and challenges of soft computing. Itgathers original scientific contributions written by top scientists in the fieldand covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data analysis.

10
May 2014 Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal: Volume 267, May, 2014
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 7

Probability theory is a rigorous theorywhich rests on a firm foundation. The brilliant successes of probability theory are visible to all. What is problematical relates to the basic question: What is probability? There are many answers but no unanimity. What is suggested in this note are definitions of possibility and ...
Keywords: Similarity-based possibility, Similarity-based probability

11
January 2013 Advances in Fuzzy Systems - Special issue on Real-Life Applications of Fuzzy Logic: Volume 2013, January 2013
Publisher: Hindawi Limited
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 4,   Downloads (12 Months): 9,   Downloads (Overall): 16

Full text available: PDFPDF

12
August 2012
Bibliometrics:
Citation Count: 7

In essence, Computing with Words (CWW) is a system of computation in which the objects of computation are predominantly words, phrases and propositions drawn from a natural language. CWW is based on fuzzy logic. In science there is a deep-seated tradition of according muchmore respect to numbers than to words. ...

13
April 2012
Bibliometrics:
Citation Count: 0

The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. ...

14
July 2011 Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal: Volume 181 Issue 14, July, 2011
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 50

Decisions are based on information. To be useful, information must be reliable. Basically, the concept of a Z-number relates to the issue of reliability of information. A Z-number, Z, has two components, Z=(A,B). The first component, A, is a restriction (constraint) on the values which a real-valued uncertain variable, X, ...
Keywords: Fuzzy logic, Uncertain computing, Computing with words, Granular computing, Reliability

15
December 2010
Bibliometrics:
Citation Count: 30

The volume is the first one in the world literature which is a comprehensive, up to date account on computing with words, a new direction in broadly perceived intelligent systems, proposed and advocated by Professor Zadeh, the founder of fuzzy sets theory and fuzzy logic.Computing with words may form a ...

16
August 2010 GRC '10: Proceedings of the 2010 IEEE International Conference on Granular Computing
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 4

Basically, fuzzy logic is the logic of classes with unsharp boundaries. In human cognition, classes with unsharp boundaries are the norm rather than exception. Everyday examples are the concepts of red, small, near, fast, heavy, similar, etc. A major application area in fuzzy logic is Computing with Words (CW or ...
Keywords: Fuzziness, precisiation of meaning, computing with words

17
June 2010 IEEE Transactions on Fuzzy Systems - Special section on computing with words: Volume 18 Issue 3, June 2010
Publisher: IEEE Press
Bibliometrics:
Citation Count: 3

The seven papers in this special section provide an overview of the main ideas and research directions for computing with words.

18
May 2010
Bibliometrics:
Citation Count: 4

Presents the state of the technology and points to future directions for semantic computing Semantic computing, a rapidly evolving interdisciplinary field, seeks to structure, design, and manipulate computer content to better satisfy the needs and intentions of users and create a more meaningful user experience. This remarkable contributed work examines ...

19
February 2010 IEEE Computational Intelligence Magazine: Volume 5 Issue 1, February 2010
Publisher: IEEE Press
Bibliometrics:
Citation Count: 19

Computing with words (CWW) means different things to different people. This article is the start of a position paper, written by some of the members of the CIS Fuzzy Systems Technical Committee Task Force on CWW, that answers the question "What does CWW mean to me?"

20
November 2009 Fuzzy Sets and Systems: Volume 160 Issue 21, November, 2009
Publisher: Elsevier North-Holland, Inc.
Bibliometrics:
Citation Count: 15

Fuzzy logic adds to bivalent logic an important capability-a capability to reason precisely with imperfect information. Imperfect information is information which in one or more respects is imprecise, uncertain, incomplete, unreliable, vague or partially true. In fuzzy logic, results of reasoning are expected to be provably valid, or p-valid for ...
Keywords: Fuzzy theorem, Fuzzy geometry, Fuzzy logic, Fuzzy set theory



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