scholarly journals ACTIVE SYSTEM MANAGEMENT UNDER UNCERTAINTY

2014 ◽  
pp. 95-98
Author(s):  
G. Shakah ◽  
V. V. Krasnoproshin ◽  
A. N. Valvachev
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
System Management ◽  
Fuzzy Data ◽  
Active System ◽  
Active Systems ◽  
Distributed Organizations ◽  
Geographically Distributed ◽  
Unification Algorithms

The paper describes the use of fuzzy set theory and theory of active systems for constructing systems that manage geographically distributed organizations under uncertainty. Unification algorithms for fuzzy data and their use for choosing management of distant objects are presented.

scholarly journals Measuring the commercial potential of new product ideas using fuzzy set theory

2021 ◽  
Vol 17 (2) ◽  
pp. 149-163
Author(s):  
Maksym W. Sitnicki ◽  
Valeriy Balan ◽  
Inna Tymchenko ◽  
Viktoriia Sviatnenko ◽  
Anastasiia Sychova
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Methodological Approach ◽  
Innovation Process ◽  
New Product ◽  
Knowledge Bases ◽  
Fuzzy Data ◽  
Commercial Potential ◽  
Expert Opinions

The stage of selecting creative ideas that have the prospect of further commercial use and can be used to create new products, services, or startups is one of the most complex and important stages of the innovation process. It is essential to take into account expert opinions and evaluations, often vague and ambiguous. The study aims to develop a methodological approach to measure the commercial potential of new product ideas based on fuzzy set theory and fuzzy logic. To this end, three calculation schemes are developed: the first two are based on fuzzy multicriteria analysis using Fuzzy SAW and Fuzzy TOPSIS methods, respectively; the third is based on building a logical-linguistic model with fuzzy expert knowledge bases and applying fuzzy inference using the Mamdani algorithm. Fuzzy numbers in triangular form with triangular membership functions are used to present linguistic estimates of experts and fuzzy data; the CoA (Center of Area) method is used to dephase the obtained values. For practical application of the proposed algorithm, the model is used as an Excel framework containing a general set of input expert information in the form of linguistic estimates and fuzzy data, a set of calculations using three schemes, and a set of defuzzification of the obtained results. The framework allows for simulation modeling depending on the modification of the list of defined evaluation criteria and their partial criteria, and adjustments to expert opinions. The developed methodological approach is suggested for the initial stages of the innovation process to facilitate the assessment of creative ideas and improve their implementation. AcknowledgmentThis scientific paper is published with the support of the International Visegrad Fund.

Why Fuzzy Set Theory is Useful in Data Mining

2008 ◽  
pp. 1-16 ◽  
Author(s):  
Eyke Hüllermeier
Keyword(s):  
Data Mining ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Fuzzy Data ◽  
Critical Importance ◽  
Standard Methods ◽  
Fuzzy Methods ◽  
Mining Methods ◽  
Application Fields

In recent years, several extensions of data mining and knowledge discovery methods have been developed on the basis of fuzzy set theory. Corresponding fuzzy data mining methods exhibit some potential advantages over standard methods, notably the following: Since many patterns of interest are inherently vague, fuzzy approaches allow for modeling them in a more adequate way and thus enable the discovery of patterns that would otherwise remain hidden. Related to this, fuzzy methods are often more robust toward a certain amount of variability or noise in the data, a point of critical importance in many practical application fields. This chapter highlights the aforementioned advantages of fuzzy approaches in the context of exemplary data mining methods, but also points out some additional complications that can be caused by fuzzy extensions.

Estimating construction waste generation in residential buildings: A fuzzy set theory approach in the Brazilian Amazon

2020 ◽  
Vol 265 ◽  
pp. 121779 ◽  
Author(s):  
Luiz Maurício Furtado Maués ◽  
Brisa do Mar Oliveira do Nascimento ◽  
Weisheng Lu ◽  
Fan Xue
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Residential Buildings ◽  
Brazilian Amazon ◽  
Theory Approach ◽  
Waste Generation ◽  
Construction Waste

Knowledge fusion method based on fuzzy set theory

2020 ◽  
Vol 38 (4) ◽  
pp. 3971-3979
Author(s):  
Yana Yuan ◽  
Huaqi Chai
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Fusion Method ◽  
Knowledge Fusion

INTRODUCTION TO FUZZY SET THEORY AND APPLICATIONS

1990 ◽  
Vol 33 (1) ◽  
pp. 0306-0313 ◽  
Author(s):  
X. Q. Gui ◽  
C. E. Goering
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory
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