000722541 000__ 02967cam\a2200517Mi\4500
000722541 001__ 722541
000722541 005__ 20230306140229.0
000722541 006__ m\\\\\o\\d\\\\\\\\
000722541 007__ cr\cn\nnnunnun
000722541 008__ 140318s2014\\\\gw\\\\\\ob\\\\000\0\eng\d
000722541 020__ $$a9783642547560$$qelectronic book
000722541 020__ $$a3642547567$$qelectronic book
000722541 020__ $$z9783642547553
000722541 020__ $$z3642547559
000722541 0247_ $$a10.1007/978-3-642-54756-0$$2doi
000722541 035__ $$aSP(OCoLC)ocn873800390
000722541 035__ $$aSP(OCoLC)873800390
000722541 040__ $$aNLGGC$$beng$$erda$$epn$$cNLGGC$$dOCLCO$$dUKMGB$$dYDXCP$$dSFB$$dGW5XE$$dA7U$$dUWO$$dOCLCF$$dCOO$$dOCLCQ
000722541 049__ $$aISEA
000722541 050_4 $$aQ337.5
000722541 08204 $$a006.4$$223
000722541 24500 $$aTransactions on rough sets XVII$$h[electronic resource] /$$cJames F. Peters, Andrzej Skowron (eds.).
000722541 2463_ $$aTransactions on rough sets 17
000722541 264_1 $$aBerlin :$$bSpringer,$$c2014.
000722541 300__ $$a1 online resource (vi, 292 pages).
000722541 336__ $$atext$$btxt$$2rdacontent
000722541 337__ $$acomputer$$bc$$2rdamedia
000722541 338__ $$aonline resource$$bcr$$2rdacarrier
000722541 4901_ $$aLecture notes in computer science ;$$v8375
000722541 504__ $$aIncludes bibliographical references and author index.
000722541 5050_ $$aThree-Valued Logics, Uncertainty Management and Rough Sets -- Standard Errors of Indices in Rough Set Data Analysis -- Proximity System: A Description-Based System for Quantifying the Nearness or Apartness of Visual Rough Sets -- Rough Sets and Matroids -- An Efficient Approach for Fuzzy Decision Reduct Computation -- Rough Sets in Economy and Finance -- Algorithms for Similarity Relation Learning from High Dimensional Data.
000722541 506__ $$aAccess limited to authorized users.
000722541 520__ $$aThe LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XVII is a continuation of a number of research streams which have grown out of the seminal work by Zdzislaw Pawlak during the first decade of the 21st century. The research streams represented in the papers cover both theory and applications of rough, fuzzy and near sets as well as their combinations.
000722541 650_0 $$aRough sets.
000722541 650_0 $$aComputer science.
000722541 650_0 $$aElectronic data processing.
000722541 650_0 $$aArtificial intelligence.
000722541 650_0 $$aOptical pattern recognition.
000722541 7001_ $$aPeters, James F.
000722541 7001_ $$aSkowron, Andrzej.$$4edt
000722541 77608 $$iPrint version:$$z9783642547553
000722541 830_0 $$aLecture notes in computer science ;$$v8375.
000722541 85280 $$bebk$$hSpringerLink
000722541 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-642-54756-0$$zOnline Access$$91397441.1
000722541 909CO $$ooai:library.usi.edu:722541$$pGLOBAL_SET
000722541 980__ $$aEBOOK
000722541 980__ $$aBIB
000722541 982__ $$aEbook
000722541 983__ $$aOnline
000722541 994__ $$a92$$bISE