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Ref # | Year | Aggregation | Fuzzy methods | Application(s) | Discussion |
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[2] | 2016 | Yes | IVIF based ranking | Supplier selection | Linguistic terms were converted to IVIF terms and aggregation was performed to fuse different opinions into a single matrix. TOPSIS method was used for criteria weight estimation. Finally, ranking is done using linear programming model and SS example is used to demonstrate the practicality. |
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[38] | 2016 | No | IVIF based ranking | Supplier selection | A new framework was proposed to select suitable business intelligent system supplier under IVIF domain. Criteria weights were estimated using ordered pairwise comparison method and weight of experts was determined using entropy method. A new algorithm was used for ranking suppliers and its practicality was tested using SS example. |
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[39] | 2016 | No | IVIF based ranking | Green supplier selection | IVIF terms were used for evaluation. Delphi method was used for choosing criteria for SS. Ranking was done using Choquet integral and fuzzy measures. |
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[40] | 2016 | Yes | IVIF based ranking | Supplier selection | IVIF terms were used for rating suppliers. AHP method was used for estimation of criteria weights and TOPSIS method was extended to IVIF domain for ranking suppliers. Preference values were aggregated using weighted arithmetic operator under interval domain. |
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[41] | 2015 | Yes | IVIF based ranking | Supplier selection | The DMs gave their preferences in IVIF fashion. Criteria and DMs weights were calculated using cross entropy measures and ranking of suppliers was done using optimization mechanism. |
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[42] | 2015 | No | IVIF based ranking | Green supplier selection | Heterogeneous set of terms were used for evaluation. IVIF based LINMAP approach was used for ranking of suppliers. Criteria weights were also determined using fuzzy programming model. |
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[34] | 2014 | Yes | IVIF based ranking | Supplier selection | IVIF information was used for rating suppliers. ELECTRE 1 was extended to IVIF domain for ranking suppliers. Score and accuracy were used for estimating concordance and discordance matrix. Criteria weights were calculated using entropy method. |
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[43] | 2013 | No | IVIF based ranking | Supplier selection | Heterogeneous values were used for evaluation of suppliers. LINMAP method was extended to IVIF domain and new distance measure was adopted to rank suppliers. |
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[44] | 2013 | Yes | Dynamic fuzzy set (DFS) based ranking | Supplier selection | The preferences were made in DFS fashion. The proposal discusses few weight models and ranking was done using a newly proposed DFS function. DFS was compared with IVIF over SS example and the power of DFS was realized. |
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[45] | 2013 | Yes | IVIF based ranking | Supplier selection | A new decision framework was proposed under IVIF domain for SS. The input to the framework was assessment in the form of IFVs and ranking was done using aggregated index. |
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[46] | 2013 | No | IVIF based ranking | Supplier selection | Heterogeneous information was used to rate suppliers. The LINMAP method was extended over IVIF and distance measure was used to rank suppliers. Criteria weights were calculated using fuzzy optimization model. |
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[47] | 2013 | No | IVIF based ranking | Supplier selection | The DMs rate the suppliers using IVIF values. The criteria weights were determined using newly proposed entropy measures. Ranking was also done using score and accuracy methods. |
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[48] | 2013 | No | IVIF based ranking | Supplier selection | The DMs adopt IVIF information to rate suppliers. The criteria were weighed using cotangent function based entropy measure. Ranking of suppliers was done using score and accuracy function and suitable supplier was selected for the job. |
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[49] | 2013 | Yes | IVIF based ranking | Supplier selection | IVIF information was used by the DM to gauge suppliers. A new aggregation method was proposed under IVIF environment for fusing preferences and final ranking was done using this method. Power of the proposed model was validated using sensitivity analysis and results infer better practicality and robustness of the model. |
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[50] | 2013 | No | IVIF based ranking | Supplier selection | IVIF values were used for rating. Criteria weights were estimated using AHP method and VIKOR was extended to IVIF for ranking suppliers. |
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