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

Year 2024, Volume: 42 Issue: 1, 89 - 98, 27.02.2024

Kemal Gökhan Nalbant , Şahika Özdemir , Yavuz Özdemir

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 pro-viding 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” > “Ac-creditation” > “Legislation on Inclusive Design” by IT2 FANP methodology.

Keywords

Campus Design, Campus Climate, Decision Making, Interval Type-2 Fuzzy ANP

References

• REFERENCES
• [1] Habermas J. Kamusalligin yapisal donusumu. İstanbul: İletişim Yayınları; 1997. (in Turkish).
• [2] Williams DA. Campus Climate & Culture Study. Florida Gulf Coast University; 2010. USA.
• [3] Hart J, Cress C. Are women faculty just worrywarts? Accounting for gender differences in self-reported stress. J Hum Behav Soc Environ 2008;17:175–193. [CrossRef]
• [4] Holley L, Larson N, Adelman M, Treviño J. Attitudes among university undergraduates toward LGB and five ethnic/racial groups. J LGBT Youth 2008;5:79–101.
• [5] Jayakumar UM, Howard TC, Allen WR, Han JC. Racial privilege in the professoriate: An exploration of campus climate, retention, and satisfaction. J High Educ 2009;80:538–563. [CrossRef]
• [6] Locks A, Sylvia S, Hurtado H, Bowman N, Oseguera L. Extending notions of campus climate and diversity to students' transition to college. Rev High Educ 2008;31:257–285. [CrossRef]
• [7] Pittman CT. Racial aggressions: The narratives of African American faculty at a predominately white university. J Negro Educ 2012;8:82–92. [CrossRef]
• [8] Vaccaro A. What lies beneath seemingly positive campus climate results?: Institutional sexism, racism, and male hostility toward equity initiatives and liberal bias. Equity Excell Educ 2010;43:202–215. [CrossRef]
• [9] Kenney DR, Dumont R, Kenney GS. Mission and place: Strengthening learning and community through campus design. Westport: Praeger Publishers; 2005.
• [10] Nisanci E, Izmen U, Bostanci SH. Trakya Bolgesinde Universitelerin Bolgesel Kalkinmaya Etkisi. Kocaeli: Trakya Üniversiteler Birliği, Umuttepe Yayınları; 2017.
• [11] Akengin H, Kayki A. Şehirleşme Üniversite İlişkisine Bir Örnek: Gazimağusa. Marmara Coğrafya Dergisi 2013;28:501–525.
• [12] Boyer EL. College: The undergraduate experience in America. New York: Harper & Row; 1987.
• [13] Griffith JC. Open space preservation: An imperative for quality campus environments. J High Educ 1994;65:645–669. [CrossRef]
• [14] Thelin JR, Yankovich J. Bricks and mortar: Architecture and the study of higher education. High Educ: Handbook Theory Res 1987;3:57–83.
• [15] Direk SY, Erdoğan F. Kentlerde Engellestirilen Cocuklar ve Geleneksel Oyun Kulturu. In: Herkes Icin Tasarim ve Erisilebilir Kentler 2. Ulusal Engellilestirilenler Sempozyumu Bildiri Kitabi. Konya: Selçuk Universitesi; 2016.
• [16] Pohekar SD, Ramachandran M. Application of multi-criteria decision making to sustainable energy planning—a review. Renew Sustain Energy Rev 2004;8:365–381. [CrossRef]
• [17] Azar A, Rajabzadeh A. Applicable of decision making through MADM approach. 4th ed.
• [18] Ayag Z, Ozdemir RG. An intelligent approach to ERP software selection through fuzzy ANP. Int J Prod Res 2007;45:2169–2194. [CrossRef]
• [19] Kang HY, Lee AH, Yang CY. A fuzzy ANP model for supplier selection as applied to IC packaging. J Intell Manuf 2012;23:1477–1488. [CrossRef]
• [20] Dargi A, Anjomshoae A, Galankashi MR, Memari A, Tap MBM. Supplier selection: A fuzzy-ANP approach. Procedia Comput Sci 2014;31:691–700. [CrossRef]
• [21] Govindan K, Shankar KM, Kannan D. Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production–a study in an Indian scenario. J Clean Prod 2016;114:199–213. [CrossRef]
• [22] Hemmati N, Rahiminezhad Galankashi M, Imani DM, Farughi H. Maintenance policy selection: a fuzzy-ANP approach. J Manuf Technol Manag 2018;29:1253–1268. [CrossRef]
• [23] Danai H, Hashemnia S, Ahmadi R, Bazazzadeh SH. Application of fuzzy ANP method to select the best supplier in the supply chain. Int J Oper Res 2019;35:1–19. [CrossRef]
• [24] Alilou H, Rahmati O, Singh VP, Choubin B, Pradhan B, Keesstra S, Sadeghi SH. Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo- hydrological criteria. J Environ Manage 2019;232:22–36. [CrossRef]
• [25] Galankashi MR, Rafiei FM, Ghezelbash M. Portfolio selection: a fuzzy-ANP approach. Financ Innov 2020;6:1–34. [CrossRef]
• [26] Zadeh LA. The concept of a linguistic variable and its application to approximate reasoning-1. Inform Sci 1975;8:199–249. [CrossRef]
• [27] Senturk S, Binici Y, Erginel N. The theoretical structure of fuzzy analytic network process (FANP) with interval type-2 fuzzy sets. IFAC-PapersOnLine 2016;49:1318–1322. [CrossRef]
• [28] Mendel JM, John RB. Type-2 fuzzy sets made simple. IEEE Trans Fuzzy Syst 2002;10:117–127. [CrossRef]
• [29] Kahraman C, Oztaysi B, Cevik S. Strategic decision selection using hesitant fuzzy TOPSIS and interval Type-2 Fuzzy AHP: A case study. Int J Comput Intell Syst 2014;7:1002–1021. [CrossRef]
• [30] Karnik NN, Mendel JM, Liang Q. Type-2 fuzzy logic systems. IEEE Trans Fuzzy Syst 1999;7:643–658. [CrossRef]
• [31] Mendel JM, John RI, Liu F. Interval type-2 fuzzy logic systems made simple. IEEE Trans Fuzzy Syst 2006;14:808–821. [CrossRef]
• [32] Boran FE, Akay D. A generic method for the evaluation of interval type-2 fuzzy linguistic summaries. IEEE Trans Cybernet 2013;44:1632–1645. [CrossRef]
• [33] Sola HB, Fernandez J, Hagras H, Herrera F, Pagola M, Barrenechea E. Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: toward a wider view on their relationship. IEEE Trans Fuzzy Syst 2014;23:1876–1882. [CrossRef]
• [34] Wu T, Liu X. An interval type-2 fuzzy ANP approach to evaluate enterprise technological innovation ability. Kybernetes 2016;45:1486–1500. [CrossRef]
• [35] Senturk S, Erginel N, Binici Y. Interval Type-2 Fuzzy analytic network process for modelling a third-party logistics (3PL) company. J Multiple-Valued Logic Soft Comput 2017;28:311–333.
• [36] Erginel N, Uluskan M, Kucuk G, Altintas M. Evaluation methods for completed Six Sigma projects through an interval type-2 fuzzy ANP. J Intell Fuzzy Syst 2018;35:1851–1863. [CrossRef]
• [37] Ozdemir S. Proposal for an evaluation tool for university campuses to be adapted to the concept of inclusive design (Dissertation Thesis). Istanbul: Yildiz Technical University; 2019.
• [38] Kahraman C, Oztaysi B, Sari IU, Turanoğlu E. Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Syst 2014;59:48–57. [CrossRef]
• [39] Guneri AF, Cengiz M, Seker S. A fuzzy ANP approach to shipyard location selection. Expert Syst Appl 2009;36:7992–7999. [CrossRef]
• [40] Saaty TL. Decision making with dependence and feedback the analytic network process. Pittsburgh: RWS Publications; 1996.
• [41] Rezaeiniya N, Ghadikolaei AS, Mehri-Tekmeh J, Rezaeiniya HR. Fuzzy ANP approach for new application: Greenhouse location selection; A case in Iran. J Math Comput Sci 2014;8:1–20. [CrossRef]
• [42] Zadeh LA. Fuzzy sets. Inform Control 1965;8:338–353. [CrossRef]