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000921803 019__ $$a1091309603$$a1105189944$$a1125940173
000921803 020__ $$a9783030153052$$q(electronic book)
000921803 020__ $$a3030153053$$q(electronic book)
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000921803 0247_ $$a10.1007/978-3-030-15305-2$$2doi
000921803 0247_ $$a10.1007/978-3-030-15
000921803 035__ $$aSP(OCoLC)on1090765489
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000921803 08204 $$a515/.42$$223
000921803 1001_ $$aBeliakov, Gleb,$$eauthor.
000921803 24510 $$aDiscrete fuzzy measures :$$bcomputational aspects /$$cGleb Beliakov, Simon James, Jian-Zhang Wu.
000921803 264_1 $$aCham, Switzerland :$$bSpringer,$$c2020.
000921803 300__ $$a1 online resource (xiv, 245 pages) :$$billustrations.
000921803 336__ $$atext$$btxt$$2rdacontent
000921803 337__ $$acomputer$$bc$$2rdamedia
000921803 338__ $$aonline resource$$bcr$$2rdacarrier
000921803 4901_ $$aStudies in fuzziness and soft computing,$$x1434-9922 ;$$vvolume 382
000921803 504__ $$aIncludes bibliographical references and index.
000921803 5050_ $$aIntroduction -- Types of Fuzzy Measures -- Value and Interaction Indices -- Representations -- Fuzzy Integrals -- Symmetric Fuzzy Measures: OWA -- k–order Fuzzy Measures and k–order Aggregation Functions -- Learning Fuzzy Measures -- Index.
000921803 506__ $$aAccess limited to authorized users.
000921803 520__ $$aThis book addresses computer scientists, IT specialists, mathematicians, knowledge engineers and programmers, who are engaged in research and practice of multicriteria decision making. Fuzzy measures, also known as capacities, allow one to combine degrees of preferences, support or fuzzy memberships into one representative value, taking into account interactions between the inputs. The notions of mutual reinforcement or redundancy are modeled explicitly through coefficients of fuzzy measures, and fuzzy integrals, such as the Choquet and Sugeno integrals combine the inputs. Building on previous monographs published by the authors and dealing with different aspects of aggregation, this book especially focuses on the Choquet and Sugeno integrals. It presents a number of new findings concerning computation of fuzzy measures, learning them from data and modeling interactions. The book does not require substantial mathematical background, as all the relevant notions are explained. It is intended as concise, timely and self-contained guide to the use of fuzzy measures in the field of multicriteria decision making.
000921803 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 27, 2019).
000921803 650_0 $$aFuzzy measure theory.
000921803 7001_ $$aJames, Simon,$$eauthor.
000921803 7001_ $$aWu, Jian-Zhang,$$eauthor.
000921803 77608 $$iPrint version: $$z3030153045$$z9783030153045$$w(OCoLC)1085165225
000921803 830_0 $$aStudies in fuzziness and soft computing ;$$vv. 382.
000921803 852__ $$bebk
000921803 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-15305-2$$zOnline Access$$91397441.1
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