| 书目名称 | Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment |
| 副标题 | Approaches, Case Stu |
| 编辑 | Muhammet Gul,Suleyman Mete,Erkan Celik |
| 视频video | |
| 概述 | Discusses new approaches of occupational safety risk assessment.Presents Python implementations for each proposed approaches.Provides a clear overview of Fine–Kinney method of risk assessment.Shows th |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | .This book presents a number of approaches to Fine–Kinney–based multi-criteria occupational risk-assessment. For each proposed approach, it provides case studies demonstrating their applicability, as well as Python coding, which will enable readers to implement them into their own risk assessment process...The book begins by giving a review of Fine–Kinney occupational risk-assessment methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX..This book will be of interest to professionals and researchers working in the field of occupational risk management, as well as postgraduate and undergraduate students studying applications of fuzzy systems.. |
| 出版日期 | Book 2021 |
| 关键词 | Risk Analysis; Fine–Kinney Method; Multi-Criteria Decision-Making; Risk Assessment; Python Implementatio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-52148-6 |
| isbn_softcover | 978-3-030-52150-9 |
| isbn_ebook | 978-3-030-52148-6Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer Nature Switzerland AG 2021 |
发表于 2025-3-21 16:59:23
