Optimization for Decision Making |
Autore | Yepes Víctor |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (290 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
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 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 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 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 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557284703321 |
Yepes Víctor | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Solution Models based on Symmetric and Asymmetric Information |
Autore | Antuchevi?ien? Jurgita |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (202 p.) |
Soggetto non controllato |
rough sets
interval type-2 fuzzy set (IT2FS) resources distribution the criteria of the weights public management Step-wise Weight Assessment Ratio Analysis (SWARA) multi-criteria decision-making (MCDM) symmetry of the method quadcopter transaction cost full fuzzy environment dual generalized geometric Bonferroni mean (DGGBM) operator data logger information theory control system salvage value nonlinear dynamics pattern formation oscillations stability Pythagorean fuzzy set FAHP fuzzy sets group decision-making generalized Bonferroni mean (GBM) operator probabilistic systems analysis economic decisions 2-tuple linguistic neutrosophic numbers set (2TLNNSs) evaluating the quality of distant courses subjective weights Z-numbers green supplier selection dual generalized Bonferroni mean (DGBM) operator normal cloud thrust sensor neutrosophic numbers MCDM Bayes’ theorem optimal dividend logistics measurement hybrid MCDM combining the weights data envelopment analysis criteria weights multiple attribute decision making (MADM) IDOCRIW excess-of-loss reinsurance fuzzy efficiency multiple-criteria decision-making (MCDM) MCGDM transport backward cloud transformation engineering problems rough ARAS capital injection performance Bonferroni mean (BM) operator green supply chain management population sizes hybrid problem solution models criteria weight assessment |
ISBN | 3-03921-007-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346836403321 |
Antuchevi?ien? Jurgita | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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