Q-Rung Orthopair Fuzzy Sets: Theory and Applications

Garg, Harish

  • 出版商: Springer
  • 出版日期: 2022-09-09
  • 售價: $4,430
  • 貴賓價: 9.5$4,209
  • 語言: 英文
  • 頁數: 560
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811914486
  • ISBN-13: 9789811914485
  • 海外代購書籍(需單獨結帳)

商品描述

This book collects chapters which discuss interdisciplinary solutions to complex problems by using different approaches in order to save money, time and resources. The book presents the results on the recent advancements in artificial intelligence, computational intelligence, decision-making problems, emerging problems and practical achievements in the broad knowledge management field. q-ROFS is one of the hot topics for all the researchers, industrialists as well as academicians. This book is of interest to professionals and researchers working in the field of decision making and computational intelligence, as well as postgraduate and undergraduate students studying applications of fuzzy sets.

The book helps solve different kinds of the decision-making problems such as medical diagnosis, pattern recognition, construction problems and technology selection under the uncertain fuzzy environment. Containing 19 chapters, the book begins by giving a topology of the q-ROFSs and their applications. It then progresses in a logical fashion, dedicating a chapter to each approach, including the generalized information measures for q-ROFSs, implementation of q-ROFSs to medical diagnosis, inventory model, multi-attribute decision-making and approaches to real-life industrial problems such as green campus transportation, social responsibility evaluation pattern and extensions of the q-ROFSs.

 

 

 

商品描述(中文翻譯)

這本書收集了討論跨學科解決複雜問題的章節,並使用不同的方法來節省金錢、時間和資源。該書介紹了人工智慧、計算智能、決策問題、新興問題和廣泛的知識管理領域中的實際成果。對於所有研究人員、工業界人士和學者來說,q-ROFS是一個熱門話題。該書對於從事決策和計算智能領域的專業人士和研究人員,以及研究模糊集應用的研究生和本科生都具有興趣。

該書幫助解決不同類型的決策問題,例如醫學診斷、模式識別、建築問題和不確定模糊環境下的技術選擇。該書共有19章,首先介紹了q-ROFS的拓撲結構及其應用。然後按照邏輯進行,每個方法都有一章,包括q-ROFS的廣義信息度量、在醫學診斷、庫存模型、多屬性決策和實際工業問題(如綠色校園交通、社會責任評估模式和q-ROFS的擴展)中的應用方法。

作者簡介

HARISH GARG is Associate Professor at the School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India. He completed his Ph.D. in Mathematics from the Indian Institute of Technology Roorkee, India, in 2013. His research interests include soft computing, decision making, aggregation operators, evolutionary algorithm, expert systems, and decision support systems. With more than 330 papers published in international journals of repute, he has supervised more than 7 Ph.D. students. He is recipient of the Top-Cited Paper by India-based Author (2015-2019). He serves as Editor-in-Chief for the Journal of Computational and Cognitive Engineering and the Annals of Optimization Theory and Practice and Associate Editor for several renowned journals. His google citations are over 13,000 with h-index 65.

作者簡介(中文翻譯)

HARISH GARG是印度帕蒂亞拉Thapar工程技術學院數學學院的副教授。他於2013年在印度羅爾基印度理工學院獲得數學博士學位。他的研究興趣包括軟計算、決策製定、聚合運算子、演化算法、專家系統和決策支持系統。他在國際知名期刊上發表了超過330篇論文,並指導了7名博士生。他是印度作者的最高引用論文獲獎者(2015-2019年)。他擔任《計算與認知工程學》和《優化理論與實踐年鑒》的主編,並擔任多個知名期刊的副編輯。他的Google引用次數超過13,000次,h指數為65。