01682oam 2200457Ka 450 991069256030332120040520135308.0(CKB)5470000002353851(OCoLC)55222498ocm55222498(OCoLC)995470000002353851(OCoLC)702658484(EXLCZ)99547000000235385120040520g20039999 ua 0engurmnu|||||txtrdacontentcrdamediacrrdacarrierState summaries[electronic resource] fact sheet /Department of Veteran Affairs[Washington, D.C.] U.S. Department of Veteran Affairs[2003?]-[Washington, D.C.] :U.S. Dept. of Transportation, Bureau of Transportation Statistics,[2010]1 online resource (v, 151 pages) illustrations, mapsFact sheetTitle from title screen (viewed on May 18, 2004).Description based on issue: Reviewed/Updated December 2003.State summaries VeteransServices forUnited StatesStatesFinanceVeteransMedical careUnited StatesStatesDisabled veteransPensionsUnited StatesStatistics.lcgftVeteransServices forStatesFinance.VeteransMedical careStates.Disabled veteransPensionsUnited States.Department of Veterans Affairs.Office of Public Affairs.GPOGPOBOOK9910692560303321State summaries3145065UNINA03426nam 22005895 450 991015760100332120251107173111.0981-10-3265-310.1007/978-981-10-3265-3(CKB)3710000001001565(DE-He213)978-981-10-3265-3(MiAaPQ)EBC4774060(PPN)222231882(EXLCZ)99371000000100156520161227d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierHesitant Fuzzy Decision Making Methodologies and Applications /by Huchang Liao, Zeshui Xu1st ed. 2017.Singapore :Springer Nature Singapore :Imprint: Springer,2017.1 online resource (XIII, 275 p. 19 illus., 8 illus. in color.)Uncertainty and Operations Research,2195-9978981-10-3264-5 Includes bibliographical references.Preface -- 1 Hesitant Fuzzy Set and Its Extensions -- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set -- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators -- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information -- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights -- 6 Decision Making with Hesitant Fuzzy Preference Relation.This book offers a comprehensive and systematic introduction to the latest research on hesitant fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions, novel hesitant fuzzy measures, hesitant fuzzy hybrid weighted aggregation operators, hesitant fuzzy multiple-criteria decision-making with incomplete weights, hesitant fuzzy multiple criteria decision-making with complete weights information, and the hesitant fuzzy preference relation based decision-making theory. These methodologies are implemented in various fields such as decision-making, medical diagnosis, cluster analysis, service quality management, e-learning management and environmental management. A valuable resource for engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science, management science and engineering, it can also be used as a textbook for postgraduate and senior undergraduate students.Uncertainty and Operations Research,2195-9978Operations researchComputational intelligenceOperating systems (Computers)Operations Research and Decision TheoryComputational IntelligenceOperating SystemsOperations research.Computational intelligence.Operating systems (Computers)Operations Research and Decision Theory.Computational Intelligence.Operating Systems.658Liao Huchangauthttp://id.loc.gov/vocabulary/relators/aut937868Xu Zeshuiauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910157601003321Hesitant Fuzzy Decision Making Methodologies and Applications2112794UNINA