This book presents new areas of applications like application of fuzzy logic in modelling of sustainability. The text is broadly divided into two parts. The first part treats processes, material and system applications related to fuzzy logic. While the second part delves into the modelling of sustainability with the help of fuzzy logic.
This book presents new areas of applications like application of fuzzy logic in modelling of sustainability. The text is broadly divided into two parts. The first part treats processes, material and system applications related to fuzzy logic. While the second part delves into the modelling of sustainability with the help of fuzzy logic.
Dr Abhijit Pandit is presently working as Assistant Professor at Amity University, Kolkata. He has more than 14 years of full-time teaching experience in reputed institutions. He is a Ph.D.(Univ. of Calcutta), M.B.A.(MAKAUT), M.Sc.(Univ. of Calcutta), B.Sc.(H) (Univ. of Calcutta) .Moreover, he is a MIMA(Member of Indian Management Association),Lifetime Member of Operational Research Society of India(ORSI), International Association of Engineers(IAENG) Society of Operations Research, Calcutta Mathematical Society. Till date author has published 18 research papers in reputed journals, 4 full-books (International Publishers), 2 book chapters (International Publishers). He has presented research papers in 23 conferences and also become keynote speaker in 2 such conferences. Author's areas of interest are Quantitative Techniques, Fuzzy Mathematics, Marketing, Consumer Psychology, Operations Research, Service Marketing, and Healthcare Research. Apart from teaching and research, author is interested in music, social-service, sports etc.
Inhaltsangabe
Preface. Acknowledgments. Author. 1. Introduction. 2. Sources of Uncertainty. 3. Membership Functions and Uncertainty. 4. Case Studies. 5. Singleton Type 1 Fuzzy Logic Systems: No Uncertainties. 6. Centroid of a Type 2 Fuzzy Set: Type Reduction. 7. Modeling of Sustainability. 8. Epilogue. Appendix A: Join, Meet, and Negation Operations for Non-Interval Type 2 Fuzzy Sets. Appendix B: Properties of Type 1 and Type 2 Fuzzy Sets. Appendix C: Computation. Appendix D: Medical Diagnosis by Fuzzy Logic. Appendix E: Fuzzy Logic System Optimized. Appendix F: Heart Disease Demo. Appendix G: Linear Tip Demo, Mamdani Tip Demo, Sugeno Tip Demo. Appendix H: Miscellaneous. Index.
Preface. Acknowledgments. Author. 1. Introduction. 2. Sources of Uncertainty. 3. Membership Functions and Uncertainty. 4. Case Studies. 5. Singleton Type 1 Fuzzy Logic Systems: No Uncertainties. 6. Centroid of a Type 2 Fuzzy Set: Type Reduction. 7. Modeling of Sustainability. 8. Epilogue. Appendix A: Join, Meet, and Negation Operations for Non-Interval Type 2 Fuzzy Sets. Appendix B: Properties of Type 1 and Type 2 Fuzzy Sets. Appendix C: Computation. Appendix D: Medical Diagnosis by Fuzzy Logic. Appendix E: Fuzzy Logic System Optimized. Appendix F: Heart Disease Demo. Appendix G: Linear Tip Demo, Mamdani Tip Demo, Sugeno Tip Demo. Appendix H: Miscellaneous. Index.
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