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Titlebook: Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models; Selected Papers from Krassimir T. Ata

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发表于 2025-3-21 18:04:22 | 显示全部楼层 |阅读模式
书目名称Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models
副标题Selected Papers from
编辑Krassimir T. Atanassov,Janusz Kacprzyk,Sławomir Za
视频video
概述Includes recent research in Uncertainty and Imprecision in Decision Making and Decision Support.Addresses Cross-fertilization, New Models, and Applications.Presents selected papers from BOS-2016 (the
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models; Selected Papers from Krassimir T. Ata
描述.This book presents selected papers from two important conferences held on October 12–14, 2016 in Warsaw, Poland: the Fourteenth National Conference of Operational and Systems Research, BOS-2016, one of the premiere conferences in the field of operational and systems research not only in Poland but also at the European level; and the Fifteenth International Workshop on Intuitionistic Fuzzy Sets and General Nets, IWIFSGN-2016, one of the foremost conferences on fuzzy logic, notably addressing extensions of the traditional fuzzy sets, as well as the Generalized Nets (GNs), a powerful extension of the traditional Petri net paradigm. ..The scope of the BOS con.ferences includes all types of problems related to systems modeling, systems analysis, broadly perceived operational research, optimization, decision making, and decision support, to name but a few. In all these areas, virtually all models used have to take into account not only uncertainty in its traditional sense, but also imprecision of information. That is, in addition to traditional probabilistic and statistical tools and techniques, the use of methods based on fuzzy sets can also be sensible. Even more so, employing certain
出版日期Conference proceedings 2018
关键词Intelligent Systems; Decision Making; Decision Support; BOS 2016; IWIFSGN 2016
版次1
doihttps://doi.org/10.1007/978-3-319-65545-1
isbn_softcover978-3-319-65544-4
isbn_ebook978-3-319-65545-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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发表于 2025-3-21 23:49:34 | 显示全部楼层
Optimal Representation (ORD) Method of Intuitionistic Fuzzy Defuzzificationtence in the inference process. The approach used in the ORD-method is considerably different from the approach of Mamdani inference. To facilitate the ORD-method understanding in the paper it was explained on the example of intuitionistic fuzzy controller of the fan speed of a room heater.
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Estimation of Trees on the Basis of Pairwise Comparisons with Random Errorsdiscrete optimization problems; their properties are similar to those for the preference relation. Such the trees can be applied to modelling of many phenomena, e.g. biological evolution, decision problems, etc.
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发表于 2025-3-23 00:40:09 | 显示全部楼层
On Fuzzy Focal Elements Combiningements should be also joined. The paper suggests a combination of knowledge by means of the conjunction of data-driven membership functions. A discussion on an influence of the combination on the basic probability assignment is provided. The method can be helpful for medical knowledge transfer.
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发表于 2025-3-23 03:34:40 | 显示全部楼层
On the Conditional Expectation on Kôpka’s D-posetsn very useful. In this contribution we deal with one of the generalization of MV-algebras, D-posets with product called Kôpka’s D-posets. We define conditional probability on Kôpka’s D-poset and introduce a version of conditional expectation on Kôpka’s D-posets.
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发表于 2025-3-23 07:04:15 | 显示全部楼层
Strong Law of Large Numbers on D-posetsortant version of them. In this contribution, we get more general version of the Strong Law of Large Numbers, in which we change .algebra by an algebraic structure called D-poset, which was introduced by F. Chovanec and F. Kôpka in [.].
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