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001453069 001__ 1453069
001453069 003__ OCoLC
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001453069 008__ 221013s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001453069 019__ $$a1346530344$$a1347029505
001453069 020__ $$a9783031160387$$q(electronic bk.)
001453069 020__ $$a303116038X$$q(electronic bk.)
001453069 020__ $$z9783031160370
001453069 020__ $$z3031160371
001453069 0247_ $$a10.1007/978-3-031-16038-7$$2doi
001453069 035__ $$aSP(OCoLC)1347384501
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001453069 049__ $$aISEA
001453069 050_4 $$aQA9.64
001453069 08204 $$a511.3/13$$223/eng/20221013
001453069 1102_ $$aNorth American Fuzzy Information Processing Society.$$bConference$$d(2022)
001453069 24510 $$aApplications of fuzzy techniques :$$bproceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2022 /$$cScott Dick, Vladik Kreinovich, Pawan Lingras, editors.
001453069 2463_ $$aNAFIPS 202
001453069 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2023]
001453069 300__ $$a1 online resource.
001453069 336__ $$atext$$btxt$$2rdacontent
001453069 337__ $$acomputer$$bc$$2rdamedia
001453069 338__ $$aonline resource$$bcr$$2rdacarrier
001453069 4901_ $$aLecture notes in networks and systems ;$$vvolume 500
001453069 500__ $$aIncludes author index.
001453069 5050_ $$aIntro -- Preface -- Contents -- How to Elicit Complex-Valued Fuzzy Degrees -- 1 Formulation of the Problem -- 2 Analysis of the Problem -- 3 So How to Elicit Complex-Valued Fuzzy Degrees: Algorithm and Discussion -- 4 Conclusions -- References -- Flutter Mitigation via Fuzzy Gain Scheduling of a Passivity-Based Controller -- 1 Introduction -- 1.1 Problem -- 1.2 Genetic Fuzzy Control -- 1.3 Benchmark Aerodynamic Controls Technology Model -- 2 Methodology -- 2.1 Standard Controller -- 2.2 Fuzzy Gain Scheduled Controller -- 3 Results and Discussion -- 4 Conclusions -- References
001453069 5058_ $$aA New Weighting Method in Fuzzy Multi-criteria Decision Making: Selected Element Reduction Approach (SERA) -- 1 Introduction -- 2 Preliminaries -- 3 Methodology -- 4 Application -- 5 Conclusion -- References -- Genetic Fuzzy System for Pitch Control on a F-4 Phantom -- 1 Introduction -- 2 F-4 Fighter Pitch Angle Dynamic Behavior -- 3 Genetic Takagi-Sugeno-Kang Fuzzy Inference System -- 4 Conclusions and Future Works -- References -- Analyzing the Sars-Cov-2 Pandemic Outbreak Using Fuzzy Sets and the SIR Model -- 1 Introduction -- 2 The Sars-Cov-2 Pandemic -- 3 Basic Concepts on Fuzzy Sets
001453069 5058_ $$a4 SIR Model -- 4.1 Fuzzy Solution and Asymptotic Behavior -- 4.2 Time-Varying Basic Reproductive Number -- 5 Application to Sars-Cov-2 Outbreak -- 5.1 Results -- 5.2 Comparing and Forecasting -- 6 Conclusion -- References -- Hybrid Fuzzy-LQR Control for Time Optimal Spacecraft Docking -- 1 Introduction -- 1.1 Related Work -- 2 Background -- 2.1 Linear Quadratic Regulator Control -- 2.2 Fuzzy-Based Bang-Bang Control -- 2.3 Genetic Algorithms -- 3 Methodology -- 3.1 Spacecraft Docking Problem -- 3.2 GA Approach -- 3.3 LQR Controller Approach -- 3.4 Fuzzy-Based Bang-Bang Controller Approach
001453069 5058_ $$a3.5 Hybrid Fuzzy-LQR Controller Approach -- 4 Results -- 5 Conclusion -- References -- An Experimental Study on Fuzzy Markov Chains Under Mn Generalized Mean Relation -- 1 Introduction and Motivation -- 2 Fuzzy Markov Chains -- 2.1 Normalized Fuzzy Transition Matrix -- 2.2 Mn Generalized Mean and Its Use in Computing the Limiting Distribution of P -- 3 Illustrative Examples -- 3.1 Discussion of the Results -- 4 Concluding Remarks -- References -- An Approach to Simulation of Fuzzy Linguistic Variables -- 1 Introduction and Motivation -- 2 Basics on Fuzzy Numbers -- 2.1 Fuzzy Linguistic Variables
001453069 5058_ $$a3 An Approach to Fuzzy Linguistic Random Variate Generation -- 3.1 Fuzzy Random Variate Generation for Linguistic Variables -- 3.2 Fuzzy Random Linguistic Value Generation -- 3.3 Fuzzy Random Variate Generation -- 4 Illustrative Example -- 5 Concluding Remarks -- References -- Why Sine Membership Functions -- 1 Formulation of the Problem -- 2 Our Explanation -- 3 Conclusions -- References -- Agricultural Yield Prediction by Difference Equations on Data-Induced Cumulative Possibility Distributions -- 1 Introduction -- 2 Mathematical Background -- 2.1 Elementary Lattice Theory Definitions
001453069 506__ $$aAccess limited to authorized users.
001453069 520__ $$aThis book is of interest to practitioners, researchers and graduate students seeking to apply existing techniques, to learn about the state of the art, or to explore novel concepts, in the theory and application of fuzzy sets and logic. Human knowledge and judgement are essential in both designing technological systems and in evaluating their outcomes. However, humans think and communicate in imprecise concepts, not numbers. Fuzzy sets and logic are well-known, widely used approaches to bridging this gap, which have been studied for nearly 60 years. NAFIPS 2022 brought together researchers studying both the theoretical foundations of fuzzy logic and its application to real-world problems. Their work examined fuzzy solutions to problems as diverse as astronomy, chemical engineering, economics, energy engineering, health care, and transportation engineering. Many papers combined fuzzy logic with interval or probabilistic computing, neural networks, and genetic algorithms.
001453069 588__ $$aDescription based on print version record.
001453069 650_0 $$aFuzzy logic$$vCongresses.
001453069 650_0 $$aFuzzy sets$$vCongresses.
001453069 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001453069 655_0 $$aElectronic books.
001453069 7001_ $$aDick, Scott,$$eeditor.$$1https://isni.org/isni/0000000040319981
001453069 7001_ $$aKreinovich, Vladik,$$eeditor.$$1https://isni.org/isni/0000000117585234
001453069 7001_ $$aLingras, Pawan,$$eeditor.$$1https://isni.org/isni/0000000383641948
001453069 77608 $$iPrint version:$$aNorth American Fuzzy Information Processing Society. Conference (2022).$$tApplications of fuzzy techniques.$$dCham : Springer, 2022$$z9783031160370$$w(OCoLC)1346315976
001453069 830_0 $$aLecture notes in networks and systems ;$$vv. 500.
001453069 852__ $$bebk
001453069 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16038-7$$zOnline Access$$91397441.1
001453069 909CO $$ooai:library.usi.edu:1453069$$pGLOBAL_SET
001453069 980__ $$aBIB
001453069 980__ $$aEBOOK
001453069 982__ $$aEbook
001453069 983__ $$aOnline
001453069 994__ $$a92$$bISE