Methods of fuzzy sets theory for statistical analysis of mass service systems.

Approaches to the processing of fuzzy information are proposed in the conditions of incomplete determination of the vector of input characteristics, which are based on the theory of fuzzy sets and fuzzy measures. Their analysis have been carried out, the limits of their use, and areas of effective application, in particular, regarding mass service systems.

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Determination of the Risk Factors Impact on the Construction Projects Implementation Using Fuzzy Sets Theory

Acta Physica Polonica A ◽

10.12693/aphyspola.130.107 ◽

2016 ◽

Vol 130 (1) ◽

pp. 107-111 ◽

Cited By ~ 16

Author(s):

N. Ibadov

Keyword(s):

Risk Factors ◽

Fuzzy Sets ◽

Construction Projects ◽

Fuzzy Sets Theory ◽

Sets Theory

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Target Threat Assessment Based on Intuitionistic Fuzzy Sets Choquet Integral

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.433-435.736 ◽

2013 ◽

Vol 433-435 ◽

pp. 736-743 ◽

Cited By ~ 2

Author(s):

Jie Huang ◽

Bi Cheng Li ◽

Yong Jun Zhao

Keyword(s):

Fuzzy Sets ◽

Membership Function ◽

Information Fusion ◽

Choquet Integral ◽

Threat Assessment ◽

Intuitionistic Fuzzy Sets ◽

Fuzzy Sets Theory ◽

Fuzzy Measures ◽

Intuitionistic Fuzzy ◽

Sets Theory

For the problem that threat assessment often has some uncertainty and the correlation exist among threat factors, a technique based on intuitionistic fuzzy sets Choquet integral is proposed with intuitionistic fuzzy sets and fuzzy integral being introduced into information fusion area. First, threat estimators based on different factors are constructed with intuitionistic fuzzy sets theory. The uncertainty of each estimator is represented with membership function and non-membership function. Then, the significances of the estimators are modeled with fuzzy measures. Subsequently, threat assessment results are obtained using Choquet integral. Finally, the proposed method is validated through the air combat threat assessment of 20 typical targets.

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Psychological Well-Being in Adolescence: An Approach from Fuzzy Sets Theory

PsycEXTRA Dataset ◽

10.1037/e534572010-001 ◽

2010 ◽

Author(s):

Monica Gonzalez ◽

Ferran Casas

Keyword(s):

Fuzzy Sets ◽

Well Being ◽

Fuzzy Sets Theory ◽

Psychological Well Being ◽

Sets Theory

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Condition Assessment Framework for Facility Management Based on Fuzzy Sets Theory

Buildings ◽

10.3390/buildings11040156 ◽

2021 ◽

Vol 11 (4) ◽

pp. 156

Author(s):

Deniz Besiktepe ◽

Mehmet E. Ozbek ◽

Rebecca A. Atadero

Keyword(s):

Fuzzy Sets ◽

Condition Index ◽

Condition Assessment ◽

Facility Management ◽

Maintenance Management ◽

Fuzzy Sets Theory ◽

Mean Time Between Failures ◽

Condition Rating ◽

Computerized Maintenance Management System ◽

Sets Theory

Condition information is essential to develop effective facility management (FM) strategies. Visual inspections and walk-through surveys are common practices of condition assessment (CA), generally resulting in qualitative and subjective outcomes such as “poor”, “good”, etc. Furthermore, limited resources of the FM process demand that CA practices be efficient. Given these, the purpose of this study is to develop a resource efficient quantitative CA framework that can be less subjective in establishing a condition rating. The condition variables of the study—mean time between failures, age-based obsolescence, facility condition index, occupant feedback, and preventive maintenance cycle—are identified through different sources, such as a computerized maintenance management system, expert opinions, occupants, and industry standards. These variables provide proxy measures for determining the condition of equipment with the implementation example for heating, ventilating, and air conditioning equipment. Fuzzy sets theory is utilized to obtain a quantitative condition rating while minimizing subjectivity, as fuzzy sets theory deals with imprecise, uncertain, and ambiguous judgments with membership relations. The proposed CA framework does not require additional resources, and the obtained condition rating value supports decision-making for building maintenance management and strategic planning in FM, with a comprehensive and less subjective understanding of condition.

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