Fuzzy sets theory and applications in engineering economy: A literature review

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-219173 ◽

2021 ◽

pp. 1-10

Author(s):

Eda Boltürk

Keyword(s):

Literature Review ◽

Fuzzy Sets ◽

Fuzzy Sets Theory ◽

Future Studies ◽

Engineering Economics ◽

Human Thought ◽

Engineering Economy ◽

States Of Nature ◽

Sets Theory

Engineering economics is an essential issue in investments and can be quietly difficult to make decisions especially in indefinite, vague and incomplete environments because of human thought. Usage of fuzzy sets gives better solutions in vagueness. Fuzzy sets could be an agreeable tool when no probabilities are accessible for states of nature and decisions are given under incompleteness. In this study, fuzzy engineering economics studies are summarized for showing fuzzy sets usage in engineering economics applications and finding gaps for future studies. The possible suggested are given in conclusion.

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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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