Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

• Autore: Antuchevi?ien? Jurgita
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 electronic resource (394 p.)
• Soggetto non controllato: artificial neural network; sustainability hierarchy; expert; Rough Hamy aggregator; sustainable solution; crank–slider; technology selection problem; AHP; bus pass; optimization; discrete time/cost trade-off; Rough WASPAS; hybrid multi-criteria decision making (MCDM); travel times; extended Tomada de Decisão Interativa Multicritério (TODIM); bi-level programming; multi-objective evolutionary algorithms; project scheduling; WASPAS; port scheduling; rehydration; sustainable transport policy; gold mines; hybrid mathematical model; sustainable developments; straw bales; group decision making; contractor; Total Interpretive Structural Modeling (TISM); MULTIMOORA; building investment project; heuristics; cleaner production (CP); particle swarm optimization (PSO); optimization study; critical information infrastructures; bi-objective optimization; dynamic analysis; location-allocation problem; probabilistic linguistic term sets (PLTSs); drying; multiple objective optimization; multi-objective decision-making (MODM); ranking; hierarchical SWARA; choice; linguistic hesitant fuzzy set and Standard variance; multiple-attribute decision-making (MADM); project; sustainable energy evaluation; emission of pollutants; genetic algorithm; ARAS-G; multi-purpose system; renewable energy; assessment; hospital evaluation; bat algorithm; multiple-criteria decision-making; comfort of use of buildings; energy efficiency; healthcare facility; conceptual framework; hybrid expert system; engineering; sustainability; verbal analysis; sustainable energy developments; sustainable development; hybrid; public transport; water resource management; compacted clay; multiple criteria decision making (MCDM); MCDM; particle swarm optimization algorithm; sustainable traffic; single-cylinder engine; Rough BWM; policy measures; apple; clay blocks; historic buildings; hesitant fuzzy set; construction; TOPSIS-GM; roundabout; fuzzy; sustainable transport; surface transport; grey; Multiple Attribute Decision Making (MADM); WSM; ecological building; management; Geomean; SWARA; vibration suppression; organizations; innovation in transport; risk; berth-quay crane joint scheduling; cost calculation; multiple criteria decision aid
• Persona (resp. second.): KarSamarjit; ZavadskasEdmundas Kazimieras
• Sommario/riassunto: Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.
• Titolo autorizzato: Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding
• ISBN: 3-03921-143-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910367758803321
• Lo trovi qui: Univ. Federico II