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000823027 019__ $$a987790973$$a987995132$$a990580485
000823027 020__ $$a9783319593067$$q(electronic book)
000823027 020__ $$a3319593064$$q(electronic book)
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000823027 020__ $$z3319593056
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000823027 08204 $$a515/.724$$223
000823027 24500 $$aAggregation functions in theory and in practice /$$cVicenç Torra, Radko Mesiar, Bernard De Baets, editors.
000823027 260__ $$aCham, Switzerland :$$bSpringer,$$c[2017]
000823027 300__ $$a1 online resource.
000823027 336__ $$atext$$btxt$$2rdacontent
000823027 337__ $$acomputer$$bc$$2rdamedia
000823027 338__ $$aonline resource$$bcr$$2rdacarrier
000823027 4901_ $$aAdvances in intelligent systems and computing,$$x2194-5357 ;$$vv. 581
000823027 504__ $$aIncludes bibliographical references.
000823027 5050_ $$aPreface; 9th International Summer School on Aggregation Functions -- AGOP 2017; General Chairs; Program Chairs; Program Committee; Local Organizing Committee Chair; Local Organizing Committee; Additional Referees; Supporting Institutions; Tutorials and Invited Talks; The Role of Aggregation Functions on Auctions; Aggregation Operators in Information Retrieval; Geometric Analysis on Cantor Sets and Trees; A Monometric-Based Approach to Data Aggregation; The Fusion of Uncertain Information: Principles and Examples of Merging Rules Across Uncertainty Theories
000823027 5058_ $$aAggregation of Multidimensional Data: A ReviewContents; Capacities, Survival Functions and Universal Integrals; 1 Introduction; 2 Preliminaries; 3 Capacities and Coincidence of Survival Functions; 4 Survival Functions and Possibility and Necessity Measures; 5 Concluding Remarks; References; Point-Interval-Valued Sets: Aggregation and Construction; 1 Introduction; 2 Operations on PIV Sets, Case I; 3 Operations on PIV Sets, Case II; 4 Aggregation of PIV Sets by T-norms; 5 Construction of PIV Sets; 6 Conclusion; References; On Some Applications of Williamson's Transform in Copula Theory
000823027 5058_ $$a1 Introduction2 Examples; 3 Williamson's Transforms and Sequences of Additive Generators/Distance Functions; 4 Some Open Problems; 5 Conclusion; References; Some Remarks on Idempotent Nullnorms on Bounded Lattices; 1 Introduction; 2 Preliminaries; 3 Characterization of Idempotent Nullnorms on Bounded Lattices; 4 Concluding Remarks; References; Aggregating Fuzzy Subgroups and T-vague Groups; 1 Introduction; 2 Preliminaries; 3 Relationship Between Indistinguishability Operators, Fuzzy Subgroups and Vague Groups; 3.1 Fuzzy Subgroups; 3.2 Vague Groups
000823027 5058_ $$a4 Aggregating Fuzzy Subgroups and Vague Groups4.1 Aggregating Fuzzy Subgroups; 4.2 Aggregating Vague Groups; 5 Concluding Remarks; References; Families of Perturbation Copulas Generalizing the FGM Family and Their Relations to Dependence Measures; 1 Introduction; 2 Copulas; 3 Dependence measures for copulas; 4 Dependence Measures for Reflections and Perturbations of Copulas; 5 Concluding Remarks; References; k-maxitivity of Order-Preserving Homomorphisms of Lattices; 1 Introduction; 2 k-maxitive Order-Preserving Homomorphisms; 3 k-maxitive Capacities and k-maxitive Aggregation Functions
000823027 5058_ $$a4 Concluding RemarksReferences; On Some Classes of RU-Implications Satisfying U-Modus Ponens; 1 Introduction; 2 Preliminaries; 3 U-Modus Ponens; 3.1 The Case When U0 Is In Urep; 3.2 The Case When U0 Is In Ucos; 4 Conclusions and Future Work; References; CMin-Integral: A Choquet-Like Aggregation Function Based on the Minimum t-Norm for Applications to Fuzzy Rule-Based Classification Systems; 1 Introduction; 2 Preliminaries; 3 Constructing the CMin-Integral; 4 The Fuzzy Reasoning Method with the CMin-Integral; 5 Experimental Results; 5.1 Experimental Results; 6 Conclusion; References
000823027 506__ $$aAccess limited to authorized users.
000823027 520__ $$aThis book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed. Aggregation functions are used for data fusion and decision making. Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).
000823027 588__ $$aDescription based on print version record.
000823027 650_0 $$aAggregation operators.
000823027 7001_ $$aTorra, Vicenç,$$eeditor.
000823027 7001_ $$aMesiar, Radko,$$eeditor.
000823027 7001_ $$aBaets, Bernard de,$$d1966-$$eeditor.
000823027 77608 $$iPrint version: $$z9783319593050$$z3319593056$$w(OCoLC)985080921
000823027 830_0 $$aAdvances in intelligent systems and computing ;$$v581.
000823027 852__ $$bebk
000823027 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-59306-7$$zOnline Access$$91397441.1
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000823027 980__ $$aBIB
000823027 982__ $$aEbook
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