ASSESSMENT OF INVESTMENT PROJECTS TAKING INTO ACCOUNT THE ECOLOGIC FACTOR

Strategic decisions and risk management ◽

10.17747/2078-8886-2012-6-94-98 ◽

2014 ◽

pp. 94-98

Author(s):

А. К. Borlakova

Keyword(s):

Fuzzy Sets ◽

Economic Efficiency ◽

Investment Decision ◽

Fuzzy Sets Theory ◽

Environmental Friendliness ◽

Investment Projects ◽

Estimation Process ◽

Sets Theory

The need to taking into account an environmental friendliness factor in the process of investment projects estimation is defined. The method of eco-economic estimation of the projects, which help to draw conclusions about the projects feasibility and to rank them according to the level of environmental and economic efficiency, is provided.To objective justification for the investment decision, the projects efficiency criteria is suggested to calculate with using the elements of the fuzzy sets theory, through which many uncertainties factors may be formalized and correctly considered in the estimation process.

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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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