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Evaluating the campus climate factors using an interval type-2 fuzzy ANP.

Authors :
NALBANT, Kemal Gökhan
ÖZDEMİR, Şahika
ÖZDEMİR, Yavuz
Source :
Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi. Feb2024, Vol. 42 Issue 1, p89-98. 10p.
Publication Year :
2024

Abstract

University campuses, characterized by their urban amenities, socio-cultural atmosphere, and diverse user population, play a significant role as public places in small cities. The physical layout of campus locations influences our views toward schooling. The concept of an inclusive campus climate refers to how people and groups perceive and interact with the environment within the campus community. The campus atmosphere encompasses the variety of people, their unique experiences, and the interpersonal contact among them. The membership functions of type-1 (T1) fuzzy sets (FSs) are represented in two dimensions, whereas the membership functions of type-2 (T2) FSs are represented in three dimensions. The introduction of this new third dimension allows for the direct modeling of uncertainties by providing more degrees of freedom. In addition, the membership value of T2 FSs is more adept at managing ambiguities. In this paper, an interval type-2 fuzzy analytic network process (IT2 FANP) is used to evaluate the weight of criteria decided by experts in the evaluation of campus climate factors with trapezoidal fuzzy numbers. The aim of this paper is to evaluate the campus climate factors using an IT2 FANP methodology. For this problem, the three main criteria and nine subcriteria were defined by experts. Therefore, the ranking of main criteria is "Physical Environment" > "Conceptual Environment" > "Administrative Environment", and the ranking of subcriteria is found as "Social Environment" > "Exterior" > "Interior" > "Cultural Environment" > "Psychological Environment" > "Inclusive Goal and Perception" > "Economic Factors" > "Accreditation" > "Legislation on Inclusive Design" by IT2 FANP methodology. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13047191
Volume :
42
Issue :
1
Database :
Academic Search Index
Journal :
Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi
Publication Type :
Academic Journal
Accession number :
175723680
Full Text :
https://doi.org/10.14744/sigma.2024.00011