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Fuzzy Logic, Soft Computing, and Applications
[chapter]
2009
Lecture Notes in Computer Science
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We survey on the theoretical and practical developments of the theory of fuzzy logic and soft computing. ...
Specifically, we briefly review the history and main milestones of fuzzy logic (in the wide sense), the more recent development of soft computing, and finalise by presenting a panoramic view of applications ...
The basic mathematical formalisms of fuzzy logic and soft computing have triggered a renewed interest in some old theories, such as that of residuated lattices or the theory of t-norms and copulas, and ...
doi:10.1007/978-3-642-02478-8_30
fatcat:6asrztozdve6rju4dh3467ypxm
History of Set Theory and Its Extensions in the Context of Soft Computing
[chapter]
2011
Lecture Notes in Computer Science
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The arithmetization programs of mathematicians in later half of nineteenth century showed that it is necessary to rebuild analysis. Riemanns attempt to find necessary and sufficient conditions for ...
During last four decades researchers realized the tremendous scope of fuzzy sets and fuzzy logic in Soft Computing. ...
In this paper, we propose comparative advantages of fuzzy sets and rough sets in the context of Soft Computing. J.T. Yao et al. ...
doi:10.1007/978-3-642-24425-4_5
fatcat:tqfbkv6s3fdhtpyhe7ycr552bu
Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions Applied to Benchmark Problems
[chapter]
2010
Lecture Notes in Computer Science
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In this paper we describe a method for the optimization of type-2 fuzzy systems based on the level of uncertainty considering three different cases to reduce the complexity problem of searching the solution ...
We apply a Genetic Algorithm to find the optimal type-2 fuzzy system dividing the search space in three subspaces. We show the comparative results obtained for the benchmark problems. ...
Fuzzy sets and fuzzy logic are the foundation of fuzzy systems, and have been developed looking to model the form that the brain manipulates inexact information. ...
doi:10.1007/978-3-642-16773-7_39
fatcat:z76vyp7r3rf2botgj55jw7acfm
Soft Computing Modelling Technologies And Intelligent Systems Minitrack
1999
Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers
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The aim of the Soft Computing minitrack is fourfold: (i) to summarize past research work in this area and draw lessons from it; (ii) to explore the possibility of developing a new paradigm for modeling ...
Expected Shift of Paradigm The successful use of fuzzy logic in control applications in the last 10-15 years has motivated and initiated work on expanding the use of fuzzy logic in information systems, ...
The Berkeley Initiative in Soft Computing (BISC) is a more recent effort. ...
doi:10.1109/hicss.1999.772637
dblp:conf/hicss/Carlsson99
fatcat:e6dsiwempvftjivgp3qawtcgcq
Page 2756 of Mathematical Reviews Vol. , Issue 97E
[page]
1997
Mathematical Reviews
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The third section, on hybrid and fuzzy systems, concerns itself with the use of fuzzy logic in a number of different paradigms employed in soft computing. ...
The sixth section has ten articles on foundational issues in fuzzy set theory. The final section describes a number of applications in which fuzzy logic plays a major role.” ...
Soft Computing Methods in Business Optimization
2013
Global Journal of Technology and Optimization
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The use of soft computing methods can lead to higher optimum of business decision-making, but generally in many other areas such engineering, technology, public services etc. ...
In effect, the role model for fuzzy logic is the human mind. ...
The neuro-fuzzy models could be an advantage in case for the setup of rules. The use of fuzzy logic is possible in numerous applications in business leading to optimum profit. ...
doi:10.4172/2229-8711.1000e103
fatcat:ckyp6klm2jbwvmbqtarl5phfsy
Soft Computing Methods in Business Optimization
2013
Global Journal of Technology and Optimization
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The use of soft computing methods can lead to higher optimum of business decision-making, but generally in many other areas such engineering, technology, public services etc. ...
In effect, the role model for fuzzy logic is the human mind. ...
The neuro-fuzzy models could be an advantage in case for the setup of rules. The use of fuzzy logic is possible in numerous applications in business leading to optimum profit. ...
doi:10.4172/1985-9406.1000e103
fatcat:elz7joekkfebpmu2v3xagf6wwy
Page 3001 of Mathematical Reviews Vol. , Issue 2002E
[page]
2002
Mathematical Reviews
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The authors divide their survey of the foun- dations of mathematics in the twentieth century into three parts: set theory, logic and model theory, and computability theory. ...
Sidorenko, The semantics of entailment (for the system £) (33- 55); A. S. Karpenko and V. I. Shalak, Minimal models for a fuzzy algebra of type 2 (56-63); V. L. ...
A Tribute to Father of Fuzzy Set Theory and Fuzzy Logic (Dr. Lotfi A. Zadeh)
2018
International Journal of Swarm Intelligence and Evolutionary Computation
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Kaufmann award, the medal of the Foundation by the Trust of the Foundation for the Advancement of Soft Computing, the High State award "friendship Order" from the President of Republic of Azerbaijan and ...
He portrayed the main and basic ideas of soft computing in his paper "Soft Computing and Fuzzy Logic" published in 1994, due to doi:10.4172/2090-4908.1000170
Page 2 of 5
J Swarm Intel Evol Comput, ...
doi:10.4172/2090-4908.1000170
fatcat:v6avjxv6bvhlzo2gjttfwqhc6e
Special issue on "Extensions to type-1 fuzzy logic: theory, algorithms and applications"
2019
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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Recent developments in fuzzy logic have presented new theories, concepts and algorithms extending the original ideas of the pioneering work of Prof. Zadeh. ...
However, complex problems usually involve higher degrees of uncertainty that cannot be handled with the traditional type-1 fuzzy logic. ...
In the eighth paper, by Ahmed Anter et al., an approach with parameter estimation in dynamic model via fuzzy swarm intelligence and chaos theory for faults in wastewater treatment plant was presented, ...
doi:10.1007/s00500-019-04566-3
fatcat:v6wzntpvrrbudnlvmlixnj6xku
Page 5886 of Mathematical Reviews Vol. , Issue 2004g
[page]
2004
Mathematical Reviews
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In fact, we strongly recommend that students acquire the mathematical foundations and knowledge of standard control systems before taking a course in soft computing methods. ...
In this context, several basic examples are discussed that lay the mathematical foundations of fuzzy set theory. ...
Page 5955 of Mathematical Reviews Vol. , Issue 97J
[page]
1997
Mathematical Reviews
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The conference dealt with soft computing, a term coined by L. Zadeh, to bring together methods in the areas of probability theory, fuzzy sets, neural computing and genetic programming.” ...
We compare the applicability of the various models for uncertainty.” ...
Non-deterministic Algebraic Structures for Soft Computing
[chapter]
2011
Lecture Notes in Computer Science
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The most suitable structures for constituting the foundation of this theoretical model of computation are non-deterministic algebras. ...
This paper presents a survey of these structures in order to foster its applicability for the development of new soft computing techniques. ...
In this work, we have reviewed a class of these structures in order to foster its applicability for the development of new soft computing techniques. ...
doi:10.1007/978-3-642-21498-1_55
fatcat:mq662yp5xzbn5agvoaxxkbj62q
Preface of the guest editors
2009
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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Acknowledgments This work has been partially supported by the Slovak Academy of Sciences via the project Center of Excellence, Physics of Information, by the grant I/2/2005 and grants APVV-0071-06, APVV ...
The need for such an alternative theory comes back to the thirties of the twentieth century, since the classical (Kolmogorovian) probability theory could not explain events occurring in quantum physics ...
The study of probabilistic models for random events, which are not simultaneously measurable or unsharp, requires new approaches to the modeling of uncertainty. ...
doi:10.1007/s00500-009-0486-1
fatcat:23k6k5h4jzfcdmmeos7vqawfkm
Abstracts
2005
International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)
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Abstract Multi-Agent Systems are one of the most prominent and attractive paradigms in computer science at the beginning of the new millennium. ...
Computation with information described in natural language, or NLcomputation for short, is a problem of intrinsic importance because much of human knowledge is described in natural language. ...
development of system theory, fuzzy logic and soft computing." ...
doi:10.1109/cimca.2005.1631232
fatcat:tpc6yjyh75bxjggiwisugest3u
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