| 书目名称 | Is ‘Fuzzy Theory’ an Appropriate Tool for Large Size Problems? |
| 编辑 | Ranjit Biswas |
| 视频video | |
| 概述 | The work in this book is based on philosophical as well as logical views on the subject of decoding the progress of decision making process in the cognition system of a decision maker.Two examples of |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .The work in this book is based on philosophical as well as logical views on the subject of decoding the ‘progress’ of decision making process in the cognition system of a decision maker (be it a human or an animal or a bird or any living thing which has a brain) while evaluating the membership value µ(x) in a fuzzy set or in an intuitionistic fuzzy set or in any such soft computing set model or in a crisp set. A new theory is introduced called by “Theory of CIFS”. The following two hypothesis are hidden facts in fuzzy computing or in any soft computing process :-.Fact-1: A decision maker (intelligent agent) can never use or apply ‘fuzzy theory’ or any soft-computing set theory without intuitionistic fuzzy system..Fact-2 : The Fact-1 does not necessarily require that a fuzzy decision maker (or a crisp ordinary decision maker or a decision maker with any other soft theory models or a decision maker like animal/bird which has brain, etc.) must be aware or knowledgeable about IFS Theory!. .The “Theory of CIFS” is developed with a careful analysis unearthing the correctness of these two facts. Two examples of ‘decision making problems’ with complete solutions are presented ou |
| 出版日期 | Book 2016 |
| 关键词 | Computational Intelligence; CIFS; Cognitive Intuitionistic Fuzzy Systems; Intuitionistic Fuzzy Set Theo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-26718-0 |
| isbn_softcover | 978-3-319-26717-3 |
| isbn_ebook | 978-3-319-26718-0Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2016 |
发表于 2025-3-21 19:14:00
