LEADER 04951nam 2201129z- 450 001 9910557284703321 005 20231214133316.0 035 $a(CKB)5400000000041193 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69186 035 $a(EXLCZ)995400000000041193 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization for Decision Making 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (290 p.) 311 $a3-03943-220-6 311 $a3-03943-221-4 330 $aIn 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. 606 $aHistory of engineering & technology$2bicssc 610 $aprobabilistic dual hesitant fuzzy sets 610 $adistance measures 610 $aaggregation operators 610 $aconsumer behavior 610 $amulti-criteria decision-making 610 $amaximum deviation method 610 $aMonorail 610 $aurban transportation planning 610 $aAnalytic Network Process 610 $aTechnique for Order Preference by Similarity to Ideal Solution 610 $ashift scheduling 610 $agoal programming 610 $aANP 610 $anatural gas combined cycle power plant 610 $aenergy sector 610 $aAnalytic Hierarchy Process (AHP) 610 $agroup decision making 610 $aconsistency 610 $acompatibility 610 $amultiple criteria group decision making (MCGDM) problems 610 $apicture fuzzy sets (PFSs) 610 $apicture 2-tuple linguistic numbers (P2TLNs) 610 $apicture 2-tuple linguistic sets (P2TLSs) 610 $aEDAS model 610 $agreen supplier selection 610 $ahuman development 610 $ainternal security 610 $aMCDM 610 $aweight balancing 610 $aWEBIRA 610 $acluster analysis 610 $ahomogeneous groups 610 $aBayesian analysis 610 $amultiple attribute decision-making (MADM) 610 $aq-rung orthopair fuzzy sets (q-ROFSs) 610 $acosine function 610 $acosine similarity measure 610 $apattern recognition 610 $ascheme selection 610 $agroup decision-making 610 $ahesitant fuzzy set 610 $ainterval-valued probability 610 $amuirhead mean and programming model 610 $adual hesitant Pythagorean fuzzy sets (DHPFSs) 610 $adual hesitant Pythagorean fuzzy generalized weighted Heronian mean (DHPFGWHM) operator 610 $adual hesitant Pythagorean fuzzy generalized geometric weighted Heronian mean (DHPFGGWHM) operator 610 $asupply chain management 610 $ahesitant fuzzy element (HFE) 610 $aHamacher operations 610 $ahesitant fuzzy Hamacher power-aggregation operators 610 $amultiple-attribute decision-making (MADM) 610 $aair traffic management 610 $awork-shift scheduling problem 610 $avariable neighborhood search 610 $aperformance analysis 610 $aoptimization 610 $adecision-making 610 $aMADM 610 $aSAW 610 $aCOPRAS 610 $aTOPSIS 610 $aPROMETHEE 610 $aMOORA 610 $anormalization 610 $astability 615 7$aHistory of engineering & technology 700 $aYepes$b Víctor$4edt$01296141 702 $aMoreno-Jiménez$b José$4edt 702 $aYepes$b Víctor$4oth 702 $aMoreno-Jiménez$b José$4oth 906 $aBOOK 912 $a9910557284703321 996 $aOptimization for Decision Making$93034989 997 $aUNINA