PMID- 36339521
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230123
IS  - 0138-9130 (Print)
IS  - 1588-2861 (Electronic)
IS  - 0138-9130 (Linking)
VI  - 128
IP  - 1
DP  - 2023
TI  - A novel hybrid MCDM approach to evaluate universities based on student 
      perspective.
PG  - 55-86
LID - 10.1007/s11192-022-04534-z [doi]
AB  - University rankings are an essential source of comparisons between universities 
      according to specific combinations of criteria. International or national 
      rankings have an increasing impact on higher education institutions, 
      stakeholders, and their environments. Thereby, on behalf of effective 
      decision-making, university-ranking efforts should be a process involving some 
      conflicting criteria and uncertainties in a more sensitive manner. This study 
      presents a detailed university evaluation procedure under certain service 
      criteria via multi-criteria decision-making (MCDM) methodologies and provides an 
      appropriate clustering of universities according to teaching and research 
      factors. A hierarchical cluster-based Interval Valued Neutrosophic Analytic 
      Hierarchy Process (IVN-AHP) integrated VIKOR methodology that includes two 
      stages, clustering and ranking, is proposed for the university evaluation 
      problem. The hierarchical clustering method is performed using teaching and 
      research factors in the first stage. The second stage addresses the determination 
      weights of service criteria through IVN-AHP and the ranking of universities by 
      using VIKOR according to service criteria under determined clusters. This study, 
      in which the proposed methodology is applied to Turkish universities, is the most 
      comprehensive in terms of the number of universities evaluated and participating 
      students. Furthermore, the integration of IVN-AHP and VIKOR to solve MCDM 
      problems is presented for the first time. This study differs from other studies 
      in terms of novelties both methodological-based and application based. Moreover, 
      categorizing universities with similar characteristics into groups using cluster 
      analysis and ranking them with the MCDM methodology provide a more realistic and 
      effective interpretation of the results.
CI  - (c) Akademiai Kiado, Budapest, Hungary 2022, Springer Nature or its licensor holds 
      exclusive rights to this article under a publishing agreement with the author(s) 
      or other rightsholder(s); author self-archiving of the accepted manuscript 
      version of this article is solely governed by the terms of such publishing 
      agreement and applicable law.
FAU - Ayyildiz, Ertugrul
AU  - Ayyildiz E
AUID- ORCID: 0000-0002-6358-7860
AD  - Department of Industrial Engineering, Karadeniz Technical University, 61080 
      Trabzon, Turkey. GRID: grid.31564.35. ISNI: 0000 0001 2186 0630
FAU - Murat, Mirac
AU  - Murat M
AUID- ORCID: 0000-0001-9980-9608
AD  - Department of Industrial Engineering, Karadeniz Technical University, 61080 
      Trabzon, Turkey. GRID: grid.31564.35. ISNI: 0000 0001 2186 0630
FAU - Imamoglu, Gul
AU  - Imamoglu G
AUID- ORCID: 0000-0002-7696-2869
AD  - Department of Industrial Engineering, Karadeniz Technical University, 61080 
      Trabzon, Turkey. GRID: grid.31564.35. ISNI: 0000 0001 2186 0630
FAU - Kose, Yildiz
AU  - Kose Y
AUID- ORCID: 0000-0002-5758-3169
AD  - Department of Industrial Engineering, Istanbul Technical University, 34367 
      Istanbul, Turkey. GRID: grid.10516.33. ISNI: 0000 0001 2174 543X
LA  - eng
PT  - Journal Article
DEP - 20221102
PL  - Switzerland
TA  - Scientometrics
JT  - Scientometrics
JID - 7901197
PMC - PMC9628436
OTO - NOTNLM
OT  - AHP
OT  - Higher education
OT  - Neutrosophic numbers
OT  - Turkey
OT  - University ranking problem
OT  - VIKOR
COIS- Conflict of interestAll authors certify that they have no affiliations with or 
      involvement in any organization or entity with any financial interest or 
      non-financial interest in the subject matter or materials discussed in this 
      manuscript.
EDAT- 2022/11/08 06:00
MHDA- 2022/11/08 06:01
PMCR- 2022/11/02
CRDT- 2022/11/07 04:46
PHST- 2021/06/08 00:00 [received]
PHST- 2022/09/20 00:00 [accepted]
PHST- 2022/11/08 06:00 [pubmed]
PHST- 2022/11/08 06:01 [medline]
PHST- 2022/11/07 04:46 [entrez]
PHST- 2022/11/02 00:00 [pmc-release]
AID - 4534 [pii]
AID - 10.1007/s11192-022-04534-z [doi]
PST - ppublish
SO  - Scientometrics. 2023;128(1):55-86. doi: 10.1007/s11192-022-04534-z. Epub 2022 Nov 
      2.