Fuzzy Decision Support Systems for Efficient Energy Management
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2025Beskrivning: 1 electronic resource (222 p.)Innehållstyp: - text
- computer
- online resource
- 9783725844593
- 9783725844609
- Technology, Engineering, Agriculture, Industrial processes
- Environmental science, engineering and technology
- AHP
- Aczel–Alsina t-norm t-conorm
- COPRAS technique
- DELPHI
- GIS
- IREMF
- Indonesia
- MCDM model
- NEAT F-PROMETHEE
- Pythagorean fuzzy entropy
- Pythagorean fuzzy sets
- TOPSIS
- aggregation operators
- bibliometric analysis
- data envelopment analysis
- decision making
- decision support system
- edge computing
- electric battery
- energy
- energy management system
- energy resource management
- entropy measures
- environment issue
- fuzzy AHP
- fuzzy decision model
- fuzzy logic
- fuzzy sets
- fuzzy theory
- green infrastructure
- imprecision
- intuitionistic fuzzy set
- location selection
- marine spatial planning
- mitigation techniques
- multi-criteria decision making
- multi-criteria decision-making
- multi-criteria group decision making
- multicriteria decision making
- offshore wind farm
- photovoltaic
- photovoltaic panels
- prioritization
- q-rung orthopair fuzzy sets
- real-time data
- renewable energy
- renewable wind energy
- site selection
- solar energy
- solar power
- the city of Zagreb
- uncertainty
- urban heat islands
Open Access Unrestricted online access star
This reprint highlights innovative research on fuzzy decision support systems (FDSSs) applied to efficient energy management. As global energy demands grow and fossil fuel resources vanish, decision-makers face increasing complexity in balancing sustainability, cost, and performance. The contributions in this collection explore how FDSSs offer powerful tools for navigating uncertainty and supporting complex, multi-criteria decisions across various energy-related domains. Topics include FDSS applications in construction, mobility, industry, environmental management (air, water, soil), and the broader energy lifecycle from exploration to supply. By integrating socio-economic and ecological considerations, this reprint provides a valuable resource for researchers and practitioners developing intelligent and adaptable solutions for energy efficiency.
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eng
Freely available e-book