02426oam 2200409zu 450 991068947770332120220809152819.0(CKB)1000000000729295(SSID)ssj0000445870(PQKBManifestationID)12210727(PQKBTitleCode)TC0000445870(PQKBWorkID)10485927(PQKB)11770424(EXLCZ)99100000000072929520160829d2001 uy |engtxtcU. S. Army War College Guide to Strategy[Place of publication not identified]Strategic Studies Institute U S Army War College Commandant AWCC DSI/Publications20011 online resourcecrBibliographic Level Mode of Issuance: MonographFor more than 3 decades, the U.S. Army War College (USAWC) Department of National Security and Strategy has faced the challenge of educating future strategic leaders on the subject of national security, or grand strategy. Fitting at the top of an officer’s or government official’s career-long professional development program, this challenge has been to design a course on strategy that incorporates its many facets in a short period of time, all within the 1-year, senior service college curriculum. To do this, a conceptual approach has provided the framework to think about strategy formulation. The purpose of this volume is to present the USAWC strategy formulation model to students and practitioners. This book serves as a guide to one method for the formulation, analysis, and study of strategy–an approach which we have found to be useful in providing generations of strategists with the conceptual tools to think systematically, strategically, critically, creatively, and big. Balancing what is described in the chapters as ends, ways, and means remains at the core of the Army War College’s approach to national security and military strategy and strategy formulation.StrategiFBCU.S. ArmyFBCNational sikkerhedFBCElectronic BooksStrategiU.S. ArmyNational sikkerhed355.43zCerami Joseph R719944PQKBBOOK9910689477703321U. S. Army War College Guide to Strategy3128575UNINA04859nam 22006495 450 991030013970332120251116203530.03-319-91648-310.1007/978-3-319-91648-4(CKB)4100000006674926(MiAaPQ)EBC5520326(DE-He213)978-3-319-91648-4(PPN)258855126(PPN)230539610(EXLCZ)99410000000667492620180919d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMultiple Criteria Decision Aid Methods, Examples and Python Implementations /by Jason Papathanasiou, Nikolaos Ploskas1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (182 pages)Springer Optimization and Its Applications,1931-6836 ;1363-319-91646-7 1. TOPSIS -- 2. VIKOR -- 3. PROMETHEE -- 4. SIR -- 5. AHP -- 6. Goal Programming.– Appendix.Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, goal programming, and their variations. Comprehensive numerical examples are also discussed for each method in conjunction with easy to follow Python code. Extensions to multiple criteria decision making algorithms such as fuzzy number theory and group decision making are introduced and implemented through Python as well. Readers will learn how to implement and use each method based on the problem, the available data, the stakeholders involved, and the various requirements needed. Focusing on the practical aspects of the multiple criteria decision making methodologies, this book is designed for researchers, practitioners and advanced graduate students in the applied mathematics, information systems, operations research and business administration disciplines, as well as other engineers and scientists oriented in interdisciplinary research. Readers will greatly benefit from this book by learning and applying various MCDM/A methods. (Adiel Teixeira de Almeida, CDSID-Center for Decision System and Information Development, Universidade Federal de Pernambuco, Recife, Brazil) Promoting the development and application of multicriteria decision aid is essential to ensure more ethical and sustainable decisions. This book is a great contribution to this objective. It is a perfect blend of theory and practice, providing potential users and researchers with the theoretical bases of some of the best-known methods as well as with the computing tools needed to practice, to compare and to put these methods to use. (Jean-Pierre Brans, Vrije Universiteit Brussel, Brussels, Belgium) This book is intended for researchers, practitioners and students alike in decision support who wish to familiarize themselves quickly and efficiently with multicriteria decision aiding algorithms. The proposed approach is original, as it presents a selection of methods from the theory to the practical implementation in Python, including a detailed example. This will certainly facilitate the learning of these techniques, and contribute to their effective dissemination in applications. (Patrick Meyer, IMT Atlantique, Lab-STICC, Univ. Bretagne Loire, Brest, France).Springer Optimization and Its Applications,1931-6836 ;136Operations researchManagement scienceSoftware engineeringComputer softwareComputer science—MathematicsOperations Research, Management Science Operations Research and Decision TheorySoftware EngineeringMathematical SoftwareMathematical Applications in Computer ScienceOperations research.Management science.Software engineering.Computer software.Computer science—Mathematics.Operations Research, Management Science .Operations Research and Decision Theory.Software Engineering.Mathematical Software.Mathematical Applications in Computer Science.005.133Papathanasiou Jasonauthttp://id.loc.gov/vocabulary/relators/aut767853Ploskas Nikolaosauthttp://id.loc.gov/vocabulary/relators/autBOOK9910300139703321Multiple Criteria Decision Aid1923102UNINA