Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications
暫譯: 機率與模糊數據科學方法理論的進展及其應用

Dombi, József, Jónás, Tamás

  • 出版商: Springer
  • 出版日期: 2021-08-13
  • 售價: $4,480
  • 貴賓價: 9.5$4,256
  • 語言: 英文
  • 頁數: 187
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030519511
  • ISBN-13: 9783030519513
  • 海外代購書籍(需單獨結帳)

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商品描述

This book focuses on the advanced soft computational and probabilistic methods that the authors have published over the past few years. It describes theoretical results and applications, and discusses how various uncertainty measures - probability, plausibility and belief measures - can be treated in a unified way. It also examines approximations of four notable probability distributions (Weibull, exponential, logistic and normal) using a unified probability distribution function, and presents a fuzzy arithmetic-based time series model that provides an easy-to-use forecasting technique. Lastly, it proposes flexible fuzzy numbers for Likert scale-based evaluations. Featuring methods that can be successfully applied in a variety of areas, including engineering, economics, biology and the medical sciences, the book offers useful guidelines for practitioners and researchers.

商品描述(中文翻譯)

本書專注於作者在過去幾年發表的高級軟計算和概率方法。它描述了理論結果和應用,並討論了如何以統一的方式處理各種不確定性度量——概率、似然性和信念度量。書中還檢視了四種著名概率分佈(威布爾分佈、指數分佈、邏輯斯特分佈和正態分佈)的近似,使用統一的概率分佈函數,並提出了一種基於模糊算術的時間序列模型,提供了一種易於使用的預測技術。最後,書中提出了靈活的模糊數,用於基於李克特量表的評估。本書介紹的方法可以成功應用於多個領域,包括工程、經濟學、生物學和醫學科學,為實務工作者和研究人員提供了有用的指導。