001461468 000__ 04966cam\a22006497i\4500
001461468 001__ 1461468
001461468 003__ OCoLC
001461468 005__ 20230503003354.0
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001461468 007__ cr\cn\nnnunnun
001461468 008__ 230316s2023\\\\sz\a\\\\ob\\\\001\0\eng\d
001461468 019__ $$a1371791562$$a1372395985
001461468 020__ $$a9783031231087$$q(electronic bk.)
001461468 020__ $$a3031231082$$q(electronic bk.)
001461468 020__ $$z9783031231070
001461468 020__ $$z3031231074
001461468 0247_ $$a10.1007/978-3-031-23108-7$$2doi
001461468 035__ $$aSP(OCoLC)1373207695
001461468 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dUKAHL$$dOCLCF
001461468 049__ $$aISEA
001461468 050_4 $$aQA166.175
001461468 08204 $$a511/.5$$223/eng/20230316
001461468 1001_ $$aMordeson, John N.,$$eauthor.$$1https://isni.org/isni/0000000117578966
001461468 24510 $$aFuzzy graph theory :$$bapplications to global problems /$$cJohn N. Mordeson, Sunil Mathew, Gayathri G.
001461468 264_1 $$aCham :$$bSpringer,$$c2023.
001461468 300__ $$a1 online resource (272 pages) :$$billustrations (black and white).
001461468 336__ $$atext$$btxt$$2rdacontent
001461468 337__ $$acomputer$$bc$$2rdamedia
001461468 338__ $$aonline resource$$bcr$$2rdacarrier
001461468 4901_ $$aStudies in fuzziness and soft computing ;$$vvolume 424
001461468 504__ $$aIncludes bibliographical references and index.
001461468 5050_ $$aPreliminaries -- Nonstandard Analysis -- Social Networks and Climate Change -- Climate Change and Consequences -- Fuzzy Soft Semigraphs and Graph Structures -- Directed Fuzzy Incidence Graphs -- Max-ow Min-cut Theorem for Directed Fuzzy Incidence Networks -- Cycle Connectivity of Fuzzy Graphs with Applications -- Neighborhood Connectivity in Fuzzy Graphs -- Cyclic Connectivity Status and Integrity Index of Fuzzy Graphs.
001461468 506__ $$aAccess limited to authorized users.
001461468 520__ $$aThis book examines some issues involving climate change, human trafficking, and other serious world challenges made worse by climate change. Climate change increases the risk of natural disasters and thus creates poverty and can cause situations of conflict and instability. Displacement can occur giving traffickers an opportunity to exploit affected people. In the fuzzy graph theory part of the book, the relatively new concepts of fuzzy soft semigraphs and graph structures are used to study human trafficking, as well as its time intuitionistic fuzzy sets that have been introduced to model forest fires. The notion of legal and illegal incidence strength is used to analyze immigration to the USA. The examination of return refugees to their origin countries is undertaken. The neighborhood connectivity index is determined for trafficking in various regions in the world. The cycle connectivity measure for the directed graph of the flow from South America to the USA is calculated. It is determined that there is a need for improvement in government response by countries. Outside the area of fuzzy graph theory, a new approach to examine climate change is introduced. Social network theory is used to study feedback processes that effect climate forcing. Tipping points in climate change are considered. The relationship between terrorism and climate change is examined. Ethical issues concerning the obligation of business organizations to reduce carbon emissions are also considered. Nonstandard analysis is a possible new area that could be used by scholars of mathematics of uncertainty. A foundation is laid to aid the researcher in the understanding of nonstandard analysis. In order to accomplish this, a discussion of some basic concepts from first-order logic is presented as some concepts of mathematics of uncertainty. An application to the theory of relativity is presented.
001461468 588__ $$aDescription based on print version record.
001461468 650_0 $$aFuzzy graphs.
001461468 650_0 $$aHuman trafficking$$xMathematical models.
001461468 650_0 $$aClimatic changes$$xMathematical models.
001461468 655_0 $$aElectronic books.
001461468 7001_ $$aMathew, Sunil,$$eauthor.$$1https://isni.org/isni/0000000499351491
001461468 7001_ $$aG, Gayathri,$$eauthor.
001461468 77608 $$iPrint version:$$aMordeson, John N.$$tFuzzy graph theory.$$dCham : Springer Nature Switzerland, 2023$$z9783031231070$$w(OCoLC)1368271481
001461468 830_0 $$aStudies in fuzziness and soft computing ;$$vv. 424.
001461468 852__ $$bebk
001461468 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-23108-7$$zOnline Access$$91397441.1
001461468 909CO $$ooai:library.usi.edu:1461468$$pGLOBAL_SET
001461468 980__ $$aBIB
001461468 980__ $$aEBOOK
001461468 982__ $$aEbook
001461468 983__ $$aOnline
001461468 994__ $$a92$$bISE