1 option
Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis / edited by Laxminarayan Sahoo, Tapan Senapati, Madhumangal Pal, Ronald R. Yager.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Sahoo, Laxminarayan.
- Series:
- Studies in Systems, Decision and Control, 2198-4190 ; 558
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Mathematical optimization.
- Computational Intelligence.
- Artificial Intelligence.
- Optimization.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Optimization.
- Physical Description:
- 1 online resource (1069 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
- Summary:
- This book focuses on cutting-edge developments in optimal decision-making incorporating modeling and optimization for determining renewable energy sources, supply chain management, and environmental planning under uncertainty. It addresses mathematical models of cost-effective management policies. This book presents the best decision-making practices for solving real-world challenges. This book provides access to an invaluable collection of various decision-making issues that scholars and industry practitioners use as a reference. The readers are able to understand how decision-making problems are formulated under uncertainty and how to use right optimization strategies to fix problems.
- Contents:
- Optimizing The Selection Of Circular Economy Indicators Through A Large-Scale Comprehensive Minimum Cost Consensus Model
- Decision Making For Uncertainty In Spatial Data Using Intuitionistic Fuzzy Sets
- Q-Rung Orthopair Fuzzy Electre Based Multicriteria Decision Model For Green Supplier Selection
- An Integrated Intuitionistic Fuzzy Critic-Aras Method And Its Application in Health-Care Waste Treatment Method Selection
- Threat Evaluation For Dynamic Targets Using Q-Rung Orthopair Soft Rough Fuzzy Multi-Criteria Decision-Making
- Renewable Energy Policy Selection Based On Fermatean Fuzzy Promethee Method
- Multiple Criteria Decision-Making Method Based On Spherical Fuzzy Aggregation Operators With Application In Covid-19 Testing Facility
- Archimedean Norms-Based Choquet Integral Operators For Single-Valued Neutrosophic Linguistic Sets And Their Application To Decision Making
- Sustainable Oil And Gas Supplier Selection Based On Pythagorean Fuzzy Topsis and Vikor Method: A Comparative Analysis
- Failure Mode and Effect Analysis (Fmea) Of Different Types Of Cancer Treatments
- A Reliability Allocation Strategy For Gear Transmission System Of High-Speed Train Based On Prospect Theory
- Cubic Analytic Hierarchy Process With Application In Decision Making
- Determination Of Best Renewable Energy Sources In India Using Swara[1]Aras In Confidence Level Based Interval-Valued Intuitionistic Fuzzy Environment
- Modeling And Analyzing Innovation Diffusion Process Through Multi Stage Approach
- Decision Support System For The Assessment Of Emergency Logistics Supplier By Using An Integrated Q-Rung Orthopair Fuzzy Marcos Method
- Uncertainty In Mathematics Educations: How To Make A Decision With Sustainable And Gamified Mcda/F-Dematel Method
- Feature-Based Inventory Management With Demand Substitution: A Grg-Based Approach Incorporating Fuzzy Constraints
- An Eoq Model Of A Fresh Product Having Variable Demand Under Trade Credit Policy Considering Default Risk
- Decision Making Process Under Uncertain Domain Of Pythagorean Fuzzy Sets Based On An Enhanced Similarity Operators Heuristic Solutions For Interval Valued Games
- On The Study Of Multi-Objective Adjacent Only Quadratic Minimum Spanning Tree Problem Under The Paradigm Of Fuzzy Environment
- Root Hair Algorithm: A Swarm Intelligence Algorithm.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Sahoo, Laxminarayan Decision Making under Uncertainty Via Optimization, Modelling, and Analysis
- ISBN:
- 9789819600854
- OCLC:
- 1505735480
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