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001442073 020__ $$a9783030820992$$q(electronic bk.)
001442073 020__ $$a3030820998$$q(electronic bk.)
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001442073 0247_ $$a10.1007/978-3-030-82099-2$$2doi
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001442073 050_4 $$aQ334$$b.N67 2021
001442073 08204 $$a006.3$$223
001442073 1102_ $$aNorth American Fuzzy Information Processing Society.$$bConference$$d(2021)
001442073 24510 $$aExplainable AI and other applications of fuzzy techniques :$$bproceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021 /$$cJulia Rayz, Victor Raskin, Scott Dick, Vladik Kreinovich, editor.
001442073 24630 $$aNAFIPS 2021
001442073 264_1 $$aCham :$$bSpringer,$$c[2022]
001442073 264_4 $$c©2022
001442073 300__ $$a1 online resource :$$billustrations (chiefly color)
001442073 336__ $$atext$$btxt$$2rdacontent
001442073 337__ $$acomputer$$bc$$2rdamedia
001442073 338__ $$aonline resource$$bcr$$2rdacarrier
001442073 347__ $$atext file
001442073 347__ $$bPDF
001442073 4901_ $$aLecture notes in networks and systems ;$$vvolume 258
001442073 500__ $$aConference proceedings.
001442073 500__ $$aIncludes author index.
001442073 5050_ $$aIntro -- Explainability: New Application and New Promise of Fuzzy Techniques -- Contents -- A Fuzzy Logic Approach for Spacecraft Landing Site Selection -- 1 Introduction -- 2 Image Dataset -- 3 Methodology -- 3.1 Image Size Reduction -- 3.2 Object Grouping -- 3.3 Object Classification -- 3.4 Performance Metrics -- 4 Results -- 5 Conclusions and Future Work -- 5.1 Future Work -- References -- Takagi-Sugeno Fuzzy Systems with Triangular Membership Functions as Interpretable Neural Networks -- 1 Introduction -- 2 Preliminaries -- 2.1 Fuzzy Systems -- 2.2 Neural Networks
001442073 5058_ $$a3 Equivalence Between TS Fuzzy Systems with Triangular Membership And Neural Networks with ReLU Activation -- 3.1 TS Fuzzy Systems Expressed in Terms of ReLU Functions -- 3.2 TS Fuzzy Systems as Neural Networks with ReLU Activation -- 3.3 Neural Networks Expressed in Terms of Takagi-Sugeno Fuzzy Systems -- 4 Conclusions -- References -- A Study on Constrained Interval Arithmetic -- 1 Introduction -- 2 Constrained Interval Arithmetic -- 2.1 Addition in CIA -- 2.2 Difference in CIA -- 2.3 Multiplication in CIA -- 2.4 Division in CIA -- 2.5 Additive/Multiplicative Inverse in CIA
001442073 5058_ $$a3 Distributivity, Expression/component-Wise and Optimization -- 4 Inclusion Isotonicity -- 5 Final Remarks -- References -- Fuzzy Classification of Multi-intent Utterances -- 1 Introduction -- 2 Related Work -- 3 Utterance Level Fuzzy Memberships -- 3.1 Membership Functions -- 3.2 Parameter Generation -- 4 Single Intent to Multi Intent Utterances -- 5 Fuzzy Membership Aggregation and Defuzzification -- 6 Experiments -- 6.1 Setup -- 6.2 Data -- 6.3 Training Details -- 6.4 Results -- 7 Conclusion -- References -- How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty
001442073 5058_ $$a1 Decision Making Under Set-Valued Uncertainty: Formulation of the Problem -- 2 What Is Known: Cases of Closed Intervals and Closed Sets -- 3 Extending the Known Result to General Bounded Sets -- 4 What if We Do Not Require Additivity? -- Reference -- A Deep Fuzzy Semi-supervised Approach to Clustering and Fault Diagnosis of Partially Labeled Semiconductor Manufacturing Data -- 1 Introduction -- 2 Methodology -- 2.1 Deep Convolutional Unsupervised Feature Learning -- 2.2 PCA-Based Semi-supervised Fault Classification -- 2.3 Fuzzy c-means Clustering and Borderline Case Detection -- 3 Results
001442073 5058_ $$a3.1 Case Study Description -- 3.2 Semi-supervised Classification Results -- 3.3 Fuzzy c-means Clustering Results -- 4 Discussion -- 5 Conclusion -- References -- Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? -- 1 Why Fuzzy Techniques in Explainable AI -- 2 Which Fuzzy Techniques in Explainable AI -- References -- Why Are Fuzzy and Stochastic Calculus Different? -- 1 Introduction -- 2 Introduction to Stochastic Equations and First Issues with Derivatives -- 3 Modes of Convergence -- 4 Convergence in Distribution -- 5 Is Weakening the Topology a Viable Solution?
001442073 506__ $$aAccess limited to authorized users.
001442073 520__ $$aThis book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques. This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AIin short, to anyone who is interested in problems involving fuzziness and AI in general.
001442073 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 5, 2021).
001442073 650_0 $$aArtificial intelligence$$vCongresses.
001442073 650_0 $$aFuzzy mathematics$$vCongresses.
001442073 650_6 $$aIntelligence artificielle$$vCongrès.
001442073 650_6 $$aMathématiques floues$$vCongrès.
001442073 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001442073 655_7 $$aConference papers and proceedings.$$2lcgft
001442073 655_7 $$aActes de congrès.$$2rvmgf
001442073 655_0 $$aElectronic books.
001442073 7001_ $$aRayz, Julia,$$eeditor.
001442073 7001_ $$aRaskin, Victor,$$d1944-$$eeditor.
001442073 7001_ $$aDick, Scott,$$eeditor.
001442073 7001_ $$aKreinovich, Vladik,$$eeditor.
001442073 77608 $$iPrint version:$$aNorth American Fuzzy Information Processing Society. Conference (2021).$$tExplainable AI and other applications of fuzzy techniques.$$dCham : Springer, [2022]$$z303082098X$$z9783030820985$$w(OCoLC)1257889482
001442073 830_0 $$aLecture notes in networks and systems ;$$vv. 258.
001442073 852__ $$bebk
001442073 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-82099-2$$zOnline Access$$91397441.1
001442073 909CO $$ooai:library.usi.edu:1442073$$pGLOBAL_SET
001442073 980__ $$aBIB
001442073 980__ $$aEBOOK
001442073 982__ $$aEbook
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