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Fuzzy Logic Approaches to Sustainable Virtual Worlds explores how computational intelligence can shape digital societies through sustainability-driven design. By merging fuzzy logic models with ecological and ethical frameworks, the book presents strategies for resource management, governance, and resilience in virtual environments. Blending theory with applications, it serves as a reference for researchers, professionals, and policymakers aiming to align virtual ecosystems with real-world sustainability goals.
- Innovative Focus: First book dedicated to applying fuzzy logic in sustaining virtual worlds.
- Interdisciplinary Appeal: Connects AI, computer science, sustainability studies, digital environments, and social sciences.
- Applications: Demonstrates fuzzy logic s role in decision-making, uncertainty management, environmental modelling, energy efficiency, and governance.
- Global Relevance: Aligns with UN SDGs, making it valuable for educators, policymakers, and technologists.
- Case Studies: Real-world implementations and simulations of green ICT, resource-efficient infrastructures, and sustainable digital societies.
Audience:- Researchers in AI, fuzzy systems, and sustainability
- Professionals in VR, metaverse, gaming, and eco-digital design
- Policymakers and educators in sustainable technology
- Graduate students exploring emerging tech + sustainability
Publisher Value Add: Aligns with the publishing trend of AI for sustainability, boosting visibility and citation potential.
List of contents
Sustainable Resource Management in Virtual Worlds.- Energy Efficient Computing in the Metaverse.- Mental Well-Being in the Metaverse: Minimizing Social Isolation by Incorporating Virtual Communities.- Integrating Fuzzy Logic-Based Optimization in Renewable Energy Solutions for Sustainable Virtual Environments.- CHEco-Twins: Pioneering Sustainable Digital Twins in the Metaverse.- Sustainable Inclusion Factorization in Green Metaverse and Virtual Worlds.- Sustainable Virtual Worlds: Implementing Renewable Energy Solutions.- Renewable Energy Solutions for Virtual Environments.- Governance and Policy for a Green Metaverse.- Consumer Behavior and Sustainability in Virtual Worlds.- Fuzzy Logic-Based Framework for Risk Management and Economic Optimization in Sustainable Virtual Economies.- Environmental Challenges and Opportunities in the Metaverse.- Smart Grids and Virtual Power Plants: Enabling the Future of Decentralized Energy Systems.- Foundation of Green Metaverse in synchronization with Fuzzy Logic.- Sustainable Practices in The Metaverse Ecometaverse: Virtual Carbon Footprint Tracker.- Technological innovations for sustainability in manufacturing Industrial technology education.- Impact of Metaverse and Financial Technologies on the Future of Digital Finance.
Summary
Fuzzy Logic Approaches to Sustainable Virtual Worlds explores how computational intelligence can shape digital societies through sustainability-driven design. By merging fuzzy logic models with ecological and ethical frameworks, the book presents strategies for resource management, governance, and resilience in virtual environments. Blending theory with applications, it serves as a reference for researchers, professionals, and policymakers aiming to align virtual ecosystems with real-world sustainability goals.
- Innovative Focus: First book dedicated to applying fuzzy logic in sustaining virtual worlds.
- Interdisciplinary Appeal: Connects AI, computer science, sustainability studies, digital environments, and social sciences.
- Applications: Demonstrates fuzzy logic’s role in decision-making, uncertainty management, environmental modelling, energy efficiency, and governance.
- Global Relevance: Aligns with UN SDGs, making it valuable for educators, policymakers, and technologists.
- Case Studies: Real-world implementations and simulations of green ICT, resource-efficient infrastructures, and sustainable digital societies.
Audience:- Researchers in AI, fuzzy systems, and sustainability
- Professionals in VR, metaverse, gaming, and eco-digital design
- Policymakers and educators in sustainable technology
- Graduate students exploring emerging tech + sustainability
Publisher Value Add: Aligns with the publishing trend of AI for sustainability, boosting visibility and citation potential.
Competitive Edge: Niche yet timely—bridging fuzzy logic, sustainability, and virtual world creation.
Teaching Potential: Adaptable for workshops, MOOCs, and conference tracks on sustainable computing and fuzzy systems
