A Decision Making Method with Triangular Fuzzy Numbers for Unraveling the Criteria of E-Commerce

The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) provides a causal relationship among criteria and computationally feasible method for addressing uncertain and ambiguous information in decision making. This paper aims to unravel the relationships between criteria of e-commerce using the fuzzy DEMATEL, where triangular fuzzy numbers are used to represent uncertain and ambiguous information. One hundred and twelve undergraduate students of mixed gender at a public university in Malaysia were invited to evaluate the criteria of e-commerce using a six-construct questionnaire. Linguistic scales that defined using triangular fuzzy numbers were employed in data collection. Data were analyzed using the nine-step of the DEMATEL method. The main contribution of this paper is the development of the causal relationship among the criteria of e-commerce that obtained from a total relation matrix of the fuzzy DEMATEL. It is found that ‘Ease of Use System’ was the most influencing criterion and ‘Information of Product or Services’ was the most important criterion. Not only did the fuzzy DEMATEL unravel the relationship among criteria, but it also identified the degree of importance among the criteria. The findings contribute to a better understanding about the criteria of e-commerce, where retailers could develop effective strategies in marketing and reciprocally, consumers would receive products and services with higher quality

[1]  Hui Li,et al.  Risk assessment in system FMEA combining fuzzy weighted average with fuzzy decision-making trial and evaluation laboratory , 2015, Int. J. Comput. Integr. Manuf..

[2]  Tsu-Ming Yeh,et al.  Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP , 2014 .

[3]  W. Marsden I and J , 2012 .

[4]  Tien-Chin Wang,et al.  Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management , 2009, Inf. Sci..

[5]  Chih-Hung Wu,et al.  Fuzzy DEMATEL method for developing supplier selection criteria , 2011, Expert Syst. Appl..

[6]  Kevin Kam Fung Yuen,et al.  Membership maximization prioritization methods for fuzzy analytic hierarchy process , 2012, Fuzzy Optimization and Decision Making.

[7]  Farzad Shahbodaghlou,et al.  A Fuzzy Systematic Approach to Construction Risk Analysis , 2012 .

[8]  Michael Hiete,et al.  Trapezoidal fuzzy DEMATEL method to analyze and correct for relations between variables in a composite indicator for disaster resilience , 2012, OR Spectr..

[9]  Reza Kiani Mavi,et al.  Using fuzzy DEMATEL for evaluating supplier selection criteria in manufacturing industries , 2015 .

[10]  Ravi Kant,et al.  Knowledge management adoption in supply chain , 2014 .

[11]  Don Jyh-Fu Jeng,et al.  Generating a causal model of supply chain collaboration using the fuzzy DEMATEL technique , 2015, Comput. Ind. Eng..

[12]  Amir Ashrafi,et al.  Fuzzy DEMATEL Model for Evaluation Criteria of Business Intelligence , 2014, ICEIS.

[13]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..

[14]  Wei-Wen Wu,et al.  Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method , 2012, Appl. Soft Comput..

[15]  Z. Jusoh,et al.  FACTORS INFLUENCING CONSUMERS' ATTITUDE TOWARDS E-COMMERCE PURCHASES THROUGH ONLINE SHOPPING , 2012 .

[16]  John Paynter,et al.  DRIVERS AND IMPEDIMENTS TO E-COMMERCE IN MALAYSIA , 2001 .

[17]  Changiz Valmohammadi,et al.  Using interpretive structural modeling and fuzzy analytical process to identify and prioritize the interactive barriers of e-commerce implementation , 2016, Inf. Manag..

[18]  A. Felix A FUZZY DEMATEL APPROACH TO STUDY CAUSE AND EFFECT RELATIONSHIP OF YOUTH VIOLENCE , 2013 .

[19]  Amin Vafadarnikjoo,et al.  Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain , 2015, Expert Syst. Appl..

[20]  Arun Kumar Sangaiah,et al.  An integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome , 2015, Neural Computing and Applications.