000921823 000__ 03051cam\a2200505Ii\4500 000921823 001__ 921823 000921823 005__ 20230306150642.0 000921823 006__ m\\\\\o\\d\\\\\\\\ 000921823 007__ cr\cn\nnnunnun 000921823 008__ 190411s2020\\\\sz\a\\\\ob\\\\001\0\eng\d 000921823 019__ $$a1099683818$$a1105196419$$a1125801058 000921823 020__ $$a9783030160203$$q(electronic book) 000921823 020__ $$a3030160203$$q(electronic book) 000921823 020__ $$z9783030160197 000921823 020__ $$z303016019X 000921823 0247_ $$a10.1007/978-3-030-16020-3$$2doi 000921823 0247_ $$a10.1007/978-3-030-16 000921823 035__ $$aSP(OCoLC)on1096326501 000921823 035__ $$aSP(OCoLC)1096326501$$z(OCoLC)1099683818$$z(OCoLC)1105196419$$z(OCoLC)1125801058 000921823 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dUKMGB$$dOCLCF$$dLQU$$dSFB 000921823 049__ $$aISEA 000921823 050_4 $$aQA166.175 000921823 08204 $$a511/.5$$223 000921823 1001_ $$aAkram, Muhammad,$$eauthor. 000921823 24510 $$aHybrid soft computing models applied to graph theory /$$cMuhammad Akram, Fariha Zafar. 000921823 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2020]. 000921823 300__ $$a1 online resource (xxv, 434 pages) :$$billustrations. 000921823 336__ $$atext$$btxt$$2rdacontent 000921823 337__ $$acomputer$$bc$$2rdamedia 000921823 338__ $$aonline resource$$bcr$$2rdacarrier 000921823 4901_ $$aStudies in fuzziness and soft computing,$$x1434-9922 ;$$vvolume 380 000921823 504__ $$aIncludes bibliographical references and index. 000921823 5050_ $$aRough Fuzzy Graphs -- Fuzzy Rough Graphs -- Intuitionistic Fuzzy Rough Graphs -- Fuzzy Soft Graphs -- Intuitionistic Fuzzy Soft Graphs -- Soft Rough Fuzzy Graphs -- Bipolar Fuzzy Soft Graphs -- Soft Rough Neutrosophic Influence Graphs. 000921823 506__ $$aAccess limited to authorized users. 000921823 520__ $$aThis book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems. Based on the authors research, it offers a concise introduction to important models, ranging from rough fuzzy digraphs and intuitionistic fuzzy rough models to bipolar fuzzy soft graphs and neutrosophic graphs, explaining how to construct them. For each method, applications to different multi-attribute, multi-criteria decision-making problems, are presented and discussed. The book, which addresses computer scientists, mathematicians, and social scientists, is intended as concise yet complete guide to basic tools for constructing hybrid intelligent models for dealing with some interesting real-world problems. It is also expected to stimulate readers creativity thus offering a source of inspiration for future research. 000921823 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 11, 2019). 000921823 650_0 $$aFuzzy graphs. 000921823 650_0 $$aSoft computing. 000921823 7001_ $$aZafar, Fariha,$$eauthor. 000921823 77608 $$iPrint version: $$z303016019X$$z9783030160197$$w(OCoLC)1088335151 000921823 830_0 $$aStudies in fuzziness and soft computing ;$$vv. 380. 000921823 852__ $$bebk 000921823 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-16020-3$$zOnline Access$$91397441.1 000921823 909CO $$ooai:library.usi.edu:921823$$pGLOBAL_SET 000921823 980__ $$aEBOOK 000921823 980__ $$aBIB 000921823 982__ $$aEbook 000921823 983__ $$aOnline 000921823 994__ $$a92$$bISE