Interval Type-2 Fuzzy Decision Making Based on Granular Computing and Its Application in Personalized Recommendation

2019 ◽  
pp. 221-247
Author(s):  
Jindong Qin ◽  
Xinwang Liu
Keyword(s):  
Decision Making ◽  
Granular Computing ◽  
Personalized Recommendation ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Interval Type

Fuzzy decision making systems based on interval type-2 fuzzy sets

2013 ◽  
Vol 242 ◽  
pp. 1-21 ◽  
Author(s):  
Shyi-Ming Chen ◽  
Cheng-Yi Wang
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Interval Type

scholarly journals Interval type-2 fuzzy decision making

2017 ◽  
Vol 80 ◽  
pp. 217-224 ◽  
Author(s):  
Thomas Runkler ◽  
Simon Coupland ◽  
Robert John
Keyword(s):  
Decision Making ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Interval Type

scholarly journals Interval Type-2 Trapezoidal Fuzzy Decision- Making Method With Consistency-Improving Algorithm and DEA Model

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 120456-120472 ◽  
Author(s):  
Feifei Jin ◽  
Jinpei Liu ◽  
Huayou Chen ◽  
Reza Langari
Keyword(s):  
Decision Making ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Dea Model ◽  
Interval Type

scholarly journals Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Gang Kou ◽  
Özlem Olgu Akdeniz ◽  
Hasan Dinçer ◽  
Serhat Yüksel
Keyword(s):  
Decision Making ◽  
Positive Impact ◽  
Fuzzy Topsis ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
European Banking ◽  
European Banks ◽  
Reducing Costs ◽  
Interval Type

AbstractFinancial technology (Fintech) makes a significant contribution to the financial system by reducing costs, providing higher quality services and increasing customer satisfaction. Hence, new studies play an essential role to improve Fintech investments. This study evaluates Fintech-based investments of European banking services with an application of an original methodology that considers interval type-2 (IT2) fuzzy decision-making trial and evaluation laboratory and IT2 fuzzy TOPSIS models. Empirical findings are controlled for consistency by applying the VIKOR method. Moreover, we conduct a sensitivity analysis by considering six distinct cases. This study contributes to the existing literature by identifying the most important Fintech-based investment alternatives to improve the financial performance of European banks. Our empirical findings illustrate that results are coherent, reliable, and identify “competitive advantage” as the most important factor among Fintech-based determinants. Moreover, “payment and money transferring systems” are the most important Fintech-based investment alternatives. It is recommended that, among Fintech-based investments, European banks should mainly focus on payment and money transferring alternatives to attract the attention of customers and satisfy their expectations. This is also believed to have a positive impact on the ease of bank’ receivable collection. Another important point is that Fintech-based investments in money transferring systems could help to decrease costs.

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