000823900 000__ 06697cam\a2200601Mi\4500
000823900 001__ 823900
000823900 005__ 20230306144055.0
000823900 006__ m\\\\\o\\d\\\\\\\\
000823900 007__ cr\un\nnnunnun
000823900 008__ 171007s2017\\\\xx\\\\\\o\\\\\000\0\eng\d
000823900 019__ $$a1005193398$$a1005464464$$a1008875874$$a1012059765
000823900 020__ $$a9783319671376
000823900 020__ $$a3319671375
000823900 020__ $$z3319671367
000823900 020__ $$z9783319671369
000823900 0247_ $$a10.1007/978-3-319-67137-6$$2doi
000823900 035__ $$aSP(OCoLC)on1005611298
000823900 035__ $$aSP(OCoLC)1005611298$$z(OCoLC)1005193398$$z(OCoLC)1005464464$$z(OCoLC)1008875874$$z(OCoLC)1012059765
000823900 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dOCLCO$$dN$T$$dGW5XE$$dNJR$$dAZU$$dOCLCF$$dCOO$$dUAB$$dOCLCQ$$dU3W
000823900 049__ $$aISEA
000823900 050_4 $$aTA1-2040
000823900 08204 $$a620
000823900 1001_ $$aMelin, Patricia.
000823900 24510 $$aFuzzy Logic in Intelligent System Design :$$bTheory and Applications.
000823900 260__ $$aCham :$$bSpringer International Publishing,$$c2017.
000823900 300__ $$a1 online resource (420 pages).
000823900 336__ $$atext$$btxt$$2rdacontent
000823900 337__ $$acomputer$$bc$$2rdamedia
000823900 338__ $$aonline resource$$bcr$$2rdacarrier
000823900 347__ $$atext file$$bPDF$$2rda
000823900 4901_ $$aAdvances in Intelligent Systems and Computing ;$$vv. 648
000823900 500__ $$a5 Conclusion.
000823900 5050_ $$aPreface; Contents; Theoretical Aspects of Fuzzy Logic; Can Multi-constraint Fuzzy Optimization Bring Complex Problems in Selecting Optimal Solar Power Generating System into Focus?; Abstract; 1 Introduction; 1.1 Commentary on Solar Power Generating System and Selection; 1.2 Objective; 2 Case Study; 2.1 Expert Knowledgebase; 3 Results and Discussion; 3.1 Similarity Between Experts; 3.2 Multi Constraint Fuzzy Optimization; References; Relating Fuzzy Set Similarity Measures; Abstract; 1 Introduction; 2 Respects for Similarity; 3 Set-Based Similarity; 4 Geometric-Based Similarity.
000823900 5058_ $$a5 Relating Set and Geometric Similarity6 Conclusions; References; Correlation Measures for Bipolar Rating Profiles; Abstract; 1 Introduction; 2 Finite Bipolar Rating Scales and Bipolar Scoring Functions; 3 General Methods of Construction of Correlation Measures on the Set with Involution; 4 Correlation Measures on the Set of Bipolar Rating Profiles; 5 Conclusions; Acknowledgements; References; Solving Real-World Fuzzy Quadratic Programming Problems by Dual Parametric Approach; Abstract; 1 Introduction; 2 Dual Parametric Approach in Fuzzy Environment; 3 Economic Dispatch Problem.
000823900 5058_ $$a3.1 Numerical Results and Analysis4 Conclusion; Acknowledgment; References; Type-2 Fuzzy Logic; A Type-2 Fuzzy Hybrid Expert System for Commercial Burglary; Abstract; 1 Introduction; 2 Fuzzy Systems; 3 Problem Description; 4 Designing the Type-2 FLS; 4.1 Determination of Input and Output Variables; 4.2 Feature Selection; 4.3 Determination of the Number of Rules and Clustering the Output Space; 4.4 Projection of Membership Functions of Output onto Input Spaces; 4.5 Tuning the Parameters of Type-1 Membership Functions; 4.6 Transformation Type-1 to Interval Type-2 Membership Functions.
000823900 5058_ $$a4.7 Tuning the Parameters of Interval Type-2 Membership Functions5 The Proposed IT2 Fuzzy Hybrid Expert System; 6 Performance Evaluation; 7 Conclusion; References; A Type-2 Fuzzy Expert System for Diagnosis of Leukemia; Abstract; 1 Introduction; 1.1 Leukemia; 1.2 Expert System; 1.3 Type-2 Fuzzy; 2 Literature Review; 3 Methodology; 3.1 Leukemia Dataset; 3.2 Determining the Number of Rules; 3.3 The Proposed Type-2 Fuzzy Model; 3.4 Performance Evaluation; 4 Conclusion; References.
000823900 5058_ $$aComparative Study of Metrics That Affect in the Performance of the Bee Colony Optimization Algorithm Through Interval Type-2 Fuzzy Logic SystemsAbstract; 1 Introduction; 2 Background; 3 Interval Type-2 Fuzzy Systems; 3.1 Fuzzy Logic Controller; 4 Proposed Methods; 5 Simulations Results; 6 Discussion; 7 Conclusions; References; Type-2 Fuzzy Approach in Multi Attribute Group Decision Making Problem; Abstract; 1 Introduction; 2 Basic Concepts of Type2 Fuzzy Sets; 2.1 Linguistic Weighted Averaging for T2-FSs; 3 Proposed Type-2 Fuzzy Multi Attribute Group Decision Making; 4 An Illustrative Example.
000823900 506__ $$aAccess limited to authorized users.
000823900 520__ $$aThis book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models.
000823900 588__ $$aDescription based on print version record.
000823900 650_0 $$aFuzzy logic.
000823900 650_0 $$aSystem design.
000823900 650_0 $$aArtificial intelligence.
000823900 7001_ $$aCastillo, Oscar.
000823900 7001_ $$aKacprzyk, Janusz.
000823900 7001_ $$aReformat, Marek.
000823900 7001_ $$aMelek, William.
000823900 77608 $$iPrint version:$$aMelin, Patricia.$$tFuzzy Logic in Intelligent System Design : Theory and Applications.$$dCham : Springer International Publishing, ©2017$$z9783319671369
000823900 830_0 $$aAdvances in intelligent systems and computing.
000823900 852__ $$bebk
000823900 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-67137-6$$zOnline Access$$91397441.1
000823900 909CO $$ooai:library.usi.edu:823900$$pGLOBAL_SET
000823900 980__ $$aEBOOK
000823900 980__ $$aBIB
000823900 982__ $$aEbook
000823900 983__ $$aOnline
000823900 994__ $$a92$$bISE