Risk Quantitative Analysis Using Fuzzy Sets Theory

2019 ◽  
pp. 159-162 ◽  
Author(s):  
M. El-Cheikh ◽  
J. Lamb ◽  
N. Gorst
Keyword(s):  
Quantitative Analysis ◽  
Fuzzy Sets ◽  
Fuzzy Sets Theory ◽  
Sets Theory

scholarly journals Condition Assessment Framework for Facility Management Based on Fuzzy Sets Theory

Buildings ◽  
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.

Cardiovascular investigations and fuzzy sets theory

1975 ◽  
Vol 35 (1) ◽  
pp. 80-84 ◽  
Author(s):  
Daniel Kalmanson ◽  
H.Fred Stegall
Keyword(s):  
Fuzzy Sets ◽  
Fuzzy Sets Theory ◽  
Sets Theory

Application of fuzzy sets theory to the saving based vehicle routing algorithm

1991 ◽  
Vol 8 (2) ◽  
pp. 87-93 ◽  
Author(s):  
Dusan Teodorovic ◽  
Shinya Kikuchi
Keyword(s):  
Fuzzy Sets ◽  
Vehicle Routing ◽  
Routing Algorithm ◽  
Fuzzy Sets Theory ◽  
Sets Theory

scholarly journals Clinical signs of pneumonia in children: association with and prediction of diagnosis by fuzzy sets theory

2004 ◽  
Vol 37 (5) ◽  
pp. 701-709 ◽  
Author(s):  
J.C.R. Pereira ◽  
P.A. Tonelli ◽  
L.C. Barros ◽  
N.R.S. Ortega
Keyword(s):  
Fuzzy Sets ◽  
Clinical Signs ◽  
Fuzzy Sets Theory ◽  
Sets Theory

Part-period balancing with uncertainty: a fuzzy sets theory approach

1990 ◽  
Vol 28 (10) ◽  
pp. 1771-1778 ◽  
Author(s):  
Y. Y. LEE ◽  
B. A. KRAMER ◽  
C. L. HWANG
Keyword(s):  
Fuzzy Sets ◽  
Theory Approach ◽  
Fuzzy Sets Theory ◽  
Sets Theory
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