Optimization for Decision Making

Edited by
October 2020
290 pages
  • ISBN978-3-03943-220-2 (Hardback)
  • ISBN978-3-03943-221-9 (PDF)

This book is a reprint of the Special Issue Optimization for Decision Making that was published in

Computer Science & Mathematics
Physical Sciences
Public Health & Healthcare
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.
  • Hardback
© 2020 by the authors; CC BY-NC-ND license
probabilistic dual hesitant fuzzy sets; distance measures; aggregation operators; consumer behavior; multi-criteria decision-making; maximum deviation method; Monorail; urban transportation planning; Analytic Network Process; Technique for Order Preference by Similarity to Ideal Solution; shift scheduling; goal programming; ANP; natural gas combined cycle power plant; energy sector; Analytic Hierarchy Process (AHP); group decision making; consistency; compatibility; multiple criteria group decision making (MCGDM) problems; picture fuzzy sets (PFSs); picture 2-tuple linguistic numbers (P2TLNs); picture 2-tuple linguistic sets (P2TLSs); EDAS model; green supplier selection; human development; internal security; MCDM; weight balancing; WEBIRA; cluster analysis; Analytic Hierarchy Process (AHP); group decision making; homogeneous groups; Bayesian analysis; multiple attribute decision-making (MADM); q-rung orthopair fuzzy sets (q-ROFSs); cosine function; cosine similarity measure; pattern recognition; scheme selection; group decision-making; hesitant fuzzy set; interval-valued probability; muirhead mean and programming model; multiple attribute decision-making (MADM); dual hesitant Pythagorean fuzzy sets (DHPFSs); dual hesitant Pythagorean fuzzy generalized weighted Heronian mean (DHPFGWHM) operator; dual hesitant Pythagorean fuzzy generalized geometric weighted Heronian mean (DHPFGGWHM) operator; green supplier selection; supply chain management; hesitant fuzzy element (HFE); Hamacher operations; hesitant fuzzy Hamacher power-aggregation operators; multiple-attribute decision-making (MADM); air traffic management; work-shift scheduling problem; variable neighborhood search; performance analysis; optimization; decision-making; MADM; SAW; COPRAS; TOPSIS; PROMETHEE; MOORA; normalization; stability