Hybrid Soft Computing Models Applied to Graph Theory
暫譯: 應用於圖論的混合軟計算模型
Akram, Muhammad, Zafar, Fariha
- 出版商: Springer
- 出版日期: 2019-06-04
- 售價: $4,540
- 貴賓價: 9.5 折 $4,313
- 語言: 英文
- 頁數: 462
- 裝訂: Quality Paper - also called trade paper
- ISBN: 303016022X
- ISBN-13: 9783030160227
海外代購書籍(需單獨結帳)
商品描述
This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems. Based on the authors’ research, it offers a concise introduction to important models, ranging from rough fuzzy digraphs and intuitionistic fuzzy rough models to bipolar fuzzy soft graphs and neutrosophic graphs, explaining how to construct them. For each method, applications to different multi-attribute, multi-criteria decision-making problems, are presented and discussed. The book, which addresses computer scientists, mathematicians, and social scientists, is intended as concise yet complete guide to basic tools for constructing hybrid intelligent models for dealing with some interesting real-world problems. It is also expected to stimulate readers’ creativity thus offering a source of inspiration for future research.
商品描述(中文翻譯)
本書描述了一組混合模糊模型,展示如何使用這些模型來處理不同類型決策問題中的不完整和/或模糊信息。基於作者的研究,本書提供了對重要模型的簡明介紹,涵蓋從粗糙模糊有向圖(rough fuzzy digraphs)和直覺模糊粗糙模型(intuitionistic fuzzy rough models)到雙極模糊軟圖(bipolar fuzzy soft graphs)和中立圖(neutrosophic graphs),並解釋如何構建這些模型。對於每種方法,書中呈現並討論了其在不同多屬性、多標準決策問題中的應用。本書面向計算機科學家、數學家和社會科學家,旨在作為一個簡明而完整的指南,提供構建混合智能模型的基本工具,以應對一些有趣的現實問題。它也期望能激發讀者的創造力,從而為未來的研究提供靈感來源。