Identification and Prioritization the needs of Bank Customers using a Hybrid Approach Kano model and Fuzzy TOPSIS

2015 ◽  
Vol 5 (4) ◽  
pp. 205
Author(s):  
Kamaleddin Rahmani ◽  
Ardeshir Bazrkar ◽  
Mohammad Abedzadeh
Keyword(s):  
Hybrid Approach ◽  
Fuzzy Topsis ◽  
Kano Model

Aesthetical design of a car profile: a Kano model-based hybrid approach

2012 ◽  
Vol 67 (9-12) ◽  
pp. 2137-2155 ◽  
Author(s):  
H. C. Yadav ◽  
Rajeev Jain ◽  
A. R. Singh ◽  
P. K. Mishra
Keyword(s):  
Hybrid Approach ◽  
Kano Model ◽  
Model Based

scholarly journals Bringing Kano’s Perspective to AHP: The 2D-AHP Decision Model

2016 ◽  
Vol 7 (4) ◽  
pp. 16-26
Author(s):  
Uk Jung ◽  
Seongmin Yim ◽  
Sunguk Lim ◽  
Chongman Kim
Keyword(s):  
Hybrid Model ◽  
Decision Model ◽  
Hybrid Approach ◽  
Survey Study ◽  
Test Case ◽  
Problem Structure ◽  
Kano Model ◽  
Two Dimension ◽  
True Hybrid ◽  
Decision Making Model

AbstractAHP and the Kano model are such prevalent TQM tools that it may be surprising that a true hybrid decision-making model has so far eluded researchers. The quest for a hybrid approach is complicated by the differing output perspective of each model, namely discrete ranking (AHP) versus a multi-dimensional picture (Kano). This paper presents a hybrid model of AHP and Kano model, so called two-dimension AHP (2D-AHP).This paper first compares the two approaches and justifies a hybrid model based on a simple conceit drawn from the Kano perspective: given a decision hierarchy, child and parent elements can exhibit multi-dimension relationships under different circumstances. Based on this premise, the authors construct a hybrid two-dimension AHP model whereby a functional-dysfunctional question-pair technique is incorporated into a traditional AHP framework.Using the proposed hybrid model, this paper provides a practical test case of its implementation. The 2D-AHP approach revealed important evaluation variances obscured through AHP, while a survey study confirmed that the 2D-AHP approach is both feasible and preferred in some respects by respondents.Although there have been rich research efforts to combine AHP and Kano model, most of them is simply about a series of individual usage of each methodology. On the other hand, the type of hybridization between AHP and Kano model in this paper is quite unique in terms of the two dimensional perspective. The model provides a general approach with application possibilities far beyond the scope of the test case and its problem structure, and so calls for application and validation in new cases.

scholarly journals A Hybrid Approach Based on Fuzzy TOPSIS-AHP for Ranking and Classifying MOOC Key Acceptance Factors

2021 ◽  
Vol 16 (5) ◽  
pp. 1-20
Author(s):  
Neeraj Chopra ◽  
Rajiv Sindwani ◽  
Manisha Goel
Keyword(s):  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Online Course ◽  
Effective Management ◽  
Massive Open Online Course ◽  
Topsis Approach ◽  
Indian Perspective ◽  
Acceptance Factors

This investigation is done during COVID-19 to identify, rank, and classify MOOC (massive open online course) key acceptance factors (KAFs) from an Indian perspective. A systematic literature review identifies 11 KAFs of MOOC. One more novel factor named ‘contingent instructor' is proposed by the authors considering pandemic and new normal post-COVID-19. The paper implements two popular fuzzy MCDM (multiple-criteria decision-making) techniques, namely fuzzy TOPSIS and fuzzy AHP, on 12 KAFs. The fuzzy TOPSIS approach is used to rank factors. Affordability, performance expectancy and digital didactics are found as the top three KAFs. Fuzzy AHP classified KAFs into three groups, namely high, moderate, and low influential. Examination of the literature indicates that this study is among the first attempt to prioritize and classify MOOC KAFs using fuzzy TOPSIS and fuzzy AHP approach. The results offer managerial guidance to stakeholders for effective management of MOOC, resulting in higher acceptance rate. Likewise, this investigation will upgrade the comprehension of MOOC KAFs among academicians.

scholarly journals A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating banking service quality

2015 ◽  
pp. 349-362 ◽  
Author(s):  
Mahdi Karimi ◽  
Milad Azizi ◽  
Hassan Javanshir ◽  
Seyed Mohammad Taghi Fatemi Ghomi
Keyword(s):  
Service Quality ◽  
Hybrid Approach ◽  
Fuzzy Topsis ◽  
Banking Service

A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality

2011 ◽  
Vol 61 (3) ◽  
pp. 637-646 ◽  
Author(s):  
Anjali Awasthi ◽  
Satyaveer S. Chauhan ◽  
Hichem Omrani ◽  
Ariyo Panahi
Keyword(s):  
Service Quality ◽  
Hybrid Approach ◽  
Fuzzy Topsis ◽  
Transportation Service

A Hybrid Methodology for Prioritizing of Store Plan Alternatives Produced with Rule-Based Design

2021 ◽  
pp. 1-25
Author(s):  
Yavuz Ozdemir ◽  
Sahika Ozdemir ◽  
Kemal Gokhan Nalbant
Keyword(s):  
Design Method ◽  
Hybrid Approach ◽  
Fuzzy Topsis ◽  
Analytic Network Process ◽  
Rule Base ◽  
Rule Based ◽  
Network Process ◽  
Computer Environment ◽  
Interval Type

With the widespread use of computers, in the design world, rule-based design methods, which can work in harmony with computer logic and can be easily adapted to the computer environment, have come to the fore. It is possible to analyze the logic of a design made with the rule-based design method. It is even possible to change the design which is placed on the rule base by removing the rules, in the computer environment, or creating new designs with the same design logic. In this paper, a new hybrid model is proposed based on Interval Type-2 Fuzzy Analytic Network Process (IT2 FANP) and Interval Type-2 Fuzzy TOPSIS (IT2 Fuzzy TOPSIS) for the evaluation of store plan alternatives produced with rule-based design method. The IT2 FANP method is used to determine the weight of criteria determined by experts in the selection of store plan alternatives. Then, the IT2 Fuzzy TOPSIS method is used to obtain the ranking of alternatives with Interval Type-2 trapezoidal fuzzy numbers. The originality of the paper comes from the first-time usage of a hybrid approach based on IT2 FANP and IT2 Fuzzy TOPSIS methodology in the prioritizing of store plan alternatives produced with rule-based design method.

Sign in / Sign up

Export Citation Format

Share Document