카트

이미지 검색을 사용해 보세요

검색창 이전화면 이전화면

최근 검색어: 전체삭제

인기 검색어

닫기

Decision Support Systems in Smart Computing

공유하기

소득공제 PDF

eBook Decision Support Systems in Smart Computing

Embracing Uncertainty and Challenges 스마트한 PDF 필기 기능을 사용해 보세요!

저

Wiley-Scrivener 2026.09.17.

회원리뷰 첫번째 리뷰어가 되어주세요

가격: 364,000원

364,000

YES포인트?: 18,200원 (5%)

5만원 이상 구매 시 2천원 추가 적립

앱 다운 시 1천원 상품권

결제혜택: 카드/간편결제 혜택을 확인하세요

PDF 안내

이 상품은 구매 후 지원 기기에서 예스24 eBook앱 설치 후 바로 이용 가능한 상품입니다.

예스24만의 독보적인 PDF 필기 기능을 경험해 보세요!

시리즈 태그 업체 공지사항 구성 소개 특별 구성 MD 한마디 카드뉴스 상세 이미지 소개 관련 동영상 목차 미리듣기 저자 소개 관련분류 품목정보 만든이 코멘트 예스24 리뷰 책 속으로 줄거리 캐스팅 관련 자료 부가 영상 출판사 리뷰 전문가 리뷰 추천평

펼치기/닫기

소개

This essential guide bridges theoretical and real-world execution, presenting actionable tools, cutting-edge methodologies, and proven case studies needed to design resilient decision systems that excel in today’s complex, uncertain world. In today’s data-driven world, uncertainty is constant, and smart decision-making demands systems that can adapt, reason, and respond. This book explores how modern fuzzy logic, soft computing, and multi-criteria decision-making methods are revolutionizing the way complex decisions are made in uncertain environments. It brings together global experts to present state-of-the-art methodologies like fuzzy AHP, TOPSIS, DEMATEL, picture fuzzy sets, and interval-valued fuzzy logic, applied across vital domains including smart cities, sustainable supply chains, digital healthcare, and urban infrastructure. Together, they explore both the theoretical foundations and real-world applications of intelligent decision-making methodologies. At the core of these contributions lies a common theme:the imperative to model, manage, and make informed decisions under conditions that are inherently imprecise, ambiguous, or conflicting conditions that traditional models often struggle to address. Ranging from foundational theories to advanced sector-specific applications, the book bridges the gap between research and real-world problem-solving, covering a diverse range of industries from urban planning and logistics to healthcare and environmental sustainability, demonstrating the growing reach and versatility of intelligent decision systems. Whether optimizing green logistics, evaluating public health strategies, or enabling intelligent urban planning, readers will discover actionable tools, models, and case studies that respond to today’s challenges. Ideal for researchers, practitioners, and policy professionals, this book is an essential guide to designing robust, adaptive decision support systems that thrive in complexity and uncertainty. Readers will find the volume: <ul><li>Covers advanced fuzzy logic techniques with real-world applications in supply chain, healthcare, and smart cities;</li> <li>Features cutting-edge methodologies like fuzzy AHP, TOPSIS, and DEMATEL;</li> <li>Includes global case studies and practical decision-making tools for complex, uncertain environments;</li> <li>Bridges theory and practice for sustainable, data-driven decision support systems.</li></ul> Audience Academics, researchers, supply chain managers, sustainability consultants, healthcare professionals, and policymakers in fields like operations research, artificial intelligence, data science, industrial engineering, and environmental studies looking for practical implementations for fuzzy logic in complex, real-world decision scenarios.

소개 더보기펼치기

저자 소개

Harish Garg, PhD is an Associate Professor at the Thapar Institute of Engineering and Technology, Patiala, Punjab, India. He has internationally published more than ten books and 530 papers in refereed international journals. His research focuses on computational intelligence, multi-criteria decision making, evolutionary algorithms, reliability analysis, expert systems and decision support systems, computing with words, and soft computing.