Optimization for Decision Making

• Autore: Yepes Víctor
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (290 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: aggregation operators; air traffic management; Analytic Hierarchy Process (AHP); Analytic Network Process; ANP; Bayesian analysis; cluster analysis; compatibility; consistency; consumer behavior; COPRAS; cosine function; cosine similarity measure; decision-making; distance measures; dual hesitant Pythagorean fuzzy generalized geometric weighted Heronian mean (DHPFGGWHM) operator; dual hesitant Pythagorean fuzzy generalized weighted Heronian mean (DHPFGWHM) operator; dual hesitant Pythagorean fuzzy sets (DHPFSs); EDAS model; energy sector; goal programming; green supplier selection; group decision making; group decision-making; Hamacher operations; hesitant fuzzy element (HFE); hesitant fuzzy Hamacher power-aggregation operators; hesitant fuzzy set; homogeneous groups; human development; internal security; interval-valued probability; MADM; maximum deviation method; MCDM; Monorail; MOORA; muirhead mean and programming model; multi-criteria decision-making; multiple attribute decision-making (MADM); multiple criteria group decision making (MCGDM) problems; multiple-attribute decision-making (MADM); natural gas combined cycle power plant; normalization; optimization; pattern recognition; performance analysis; picture 2-tuple linguistic numbers (P2TLNs); picture 2-tuple linguistic sets (P2TLSs); picture fuzzy sets (PFSs); probabilistic dual hesitant fuzzy sets; PROMETHEE; q-rung orthopair fuzzy sets (q-ROFSs); SAW; scheme selection; shift scheduling; stability; supply chain management; Technique for Order Preference by Similarity to Ideal Solution; TOPSIS; urban transportation planning; variable neighborhood search; WEBIRA; weight balancing; work-shift scheduling problem
• Persona (resp. second.): Moreno-JiménezJosé; YepesVíctor
• Sommario/riassunto: In the current context of the electronic governance of society, both administrations and citizens are demanding greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled "Optimization for Decision Making". These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions, or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization for decision making in a coherent manner.
• Titolo autorizzato: Optimization for Decision Making
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557284703321
• Lo trovi qui: Univ. Federico II