In the rising information technology trends, cost, time, delivery, space, quality, durability, and price are all paramount in addressing managerial decision-making complexities within the supply chain, transportation, and inventory control. The intensifying competition within imprecise environments further complicates these challenges. Customer demand, influenced by multifaceted factors such as production price and income levels, often remains elusive or unpredictable in the real-world market. Fuzzy sets, while useful, need to catch up in directly capturing such uncertainties due to their numeric membership functions. Multi-Criteria Decision Making Models and Techniques: Neutrosophic Approaches explores the neutrosophic sets as a solution, uniquely poised to accommodate inherent uncertainties. Neutrosophic sets and logic are evolutionary extensions of fuzzy and intuitionistic fuzzy sets and logic. In real-world problems, these diverse uncertain systems demonstrate a capability to manage heightened levels of uncertainty. This book delves into the burgeoning field of neutrosophic theory, elucidating its application in operations research. Neutrosophic sets and logic have emerged as pivotal tools in grappling with uncertainty, impreciseness, vagueness, incompleteness, inconsistency, and indeterminacy. As a testament to its versatility, neutrosophic theory has found resonance in various domains, from computational intelligence and image processing to medical diagnosis, fault diagnosis, and optimization design. Through a compendium of advanced research, this book is a connection for scholars and practitioners, fostering dialogue on the latest advancements, novel methodologies, and promising research avenues. It captures the present achievements and sets the stage for future breakthroughs in applying neutrosophic approaches to multi-criteria decision-making models. Within these pages, readers will discover a comprehensive exploration of neutrosophic theory's impact, propelling the discourse on its potential to reshape the landscape of operations research.
Les mer
Produktdetaljer
ISBN
9798369320884
Publisert
2024-09-12
Utgiver
Vendor
Engineering Science Reference
Høyde
254 mm
Bredde
178 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Kombinasjonsprodukt
Antall sider
418
Redaktør