An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites

This study presents a hybrid framework of Analytic hierarchy process and Intuitionistic Fuzzy Technique for Order of Preference by Similarity to Ideal Solution for the assessment and evaluation of E-commerce web site (EWS) performance. The proposed hybrid model enables decision makers to assess and efficiently use intuitionistic fuzzy numbers. In addition, human judgment can effectively be incorporated in the evaluation process. The present model provides an accurate classification of EWS’ performance. A numerical case study is provided to demonstrate the proposed analytic methodology to validate the efficiency and effectiveness of the hybrid model.

[1]  F. E. Boran An Integrated Intuitionistic Fuzzy Multi Criteria Decision Making Method for Facility Location Selection , 2011 .

[2]  F. Chan,et al.  Global supplier development considering risk factors using fuzzy extended AHP-based approach , 2007 .

[3]  Luis G. Vargas,et al.  Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks , 2013 .

[4]  R. Kohli,et al.  Editorial—IT Investment Payoff in E-Business Environments: Research Issues , 2003, Inf. Syst. Frontiers.

[5]  Aïda Valls,et al.  ELECTRE-III-H: An outranking-based decision aiding method for hierarchically structured criteria , 2015, Expert Syst. Appl..

[6]  Babak Daneshvar Rouyendegh,et al.  The DEA - FUZZY ANP Department Ranking Model Applied in Iran Amirkabir University , 2010 .

[7]  N. Malys,et al.  Comparative analysis of MCDM methods for the assessment of sustainable housing affordability , 2016 .

[8]  Kweku-Muata Osei-Bryson,et al.  A hybrid decision support framework for generating & selecting causal explanatory regression splines models for information systems research , 2013, Information Systems Frontiers.

[9]  Younghwa Lee,et al.  Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach , 2006, Decis. Support Syst..

[10]  Richard T. Vidgen,et al.  An Evaluation of Cyber-Bookshops: The WebQual Method , 2001, Int. J. Electron. Commer..

[11]  Da Ruan,et al.  Fuzzy group decision-making for facility location selection , 2003, Inf. Sci..

[12]  David L. Olson,et al.  Comparison of weights in TOPSIS models , 2004, Math. Comput. Model..

[13]  Ali Dag,et al.  Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach , 2019, Ann. Oper. Res..

[14]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[15]  Abbas Alimohammadi,et al.  Hospital site selection using fuzzy AHP and its derivatives. , 2009, Journal of environmental management.

[16]  Tolga Kaya,et al.  Multi-attribute Evaluation of Website Quality in E-business Using an Integrated Fuzzy AHPTOPSIS Methodology , 2010, Int. J. Comput. Intell. Syst..

[17]  J. Rezaei Best-worst multi-criteria decision-making method , 2015 .

[18]  Viswanath Venkatesh,et al.  Assessing a Firm's Web Presence: A Heuristic Evaluation Procedure for the Measurement of Usability , 2002, Inf. Syst. Res..

[19]  Metin Dağdeviren,et al.  A hybrid multi-criteria decision making model to evaluate hotel websites , 2014 .

[20]  Sanjay Kumar,et al.  Interval-valued intuitionistic hesitant fuzzy Choquet integral based TOPSIS method for multi-criteria group decision making , 2016, Eur. J. Oper. Res..

[21]  Aicha Aguezzoul,et al.  Third-party logistics selection problem: A literature review on criteria and methods , 2014 .

[22]  Diyar Akay,et al.  A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..

[23]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[24]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[25]  C. Hwang,et al.  Fuzzy Multiple Attribute Decision Making Methods , 1992 .

[26]  Ali Dag,et al.  A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival , 2016, Decis. Support Syst..

[27]  David C. Yen,et al.  E-commerce web site loyalty: A cross cultural comparison , 2015, Inf. Syst. Frontiers.

[28]  Jun Guo,et al.  Rank B2C e-commerce websites in e-alliance based on AHP and fuzzy TOPSIS , 2011, Expert Syst. Appl..

[29]  Byeongdo Kang,et al.  A Fuzzy AHP approach to evaluating e-commerce websites , 2007, 5th ACIS International Conference on Software Engineering Research, Management & Applications (SERA 2007).

[30]  Eric W. T. Ngai,et al.  Fuzzy decision support system for risk analysis in e-commerce development , 2005, Decis. Support Syst..

[31]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[32]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[33]  C. Hwang,et al.  TOPSIS for MODM , 1994 .

[34]  Xin Zhang,et al.  Research on E-commerce Website Evaluation with Hybrid Decision-Making Index and Extension of the TOPSIS method , 2008, 2008 Third International Conference on Pervasive Computing and Applications.

[35]  Ching-Fu Chen Applying the Analytical Hierarchy Process (AHP) Approach to Convention Site Selection , 2006 .

[36]  Morteza Yazdani,et al.  A state-of the-art survey of TOPSIS applications , 2012, Expert Syst. Appl..

[37]  Rajiv Kohli,et al.  Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics , 2002, Inf. Syst. Res..

[38]  Yi Peng,et al.  FAMCDM: A fusion approach of MCDM methods to rank multiclass classification algorithms , 2011 .

[39]  Pavel V. Sevastjanov,et al.  A direct interval extension of TOPSIS method , 2013, Expert Syst. Appl..

[40]  Jun Fei,et al.  The Evaluation of B2C E-Commerce Web Sites Based on Fuzzy AHP , 2008, 2008 International Symposium on Computer Science and Computational Technology.

[41]  Fatih Emre Boran,et al.  The Evaluation of Renewable Energy Technologies for Electricity Generation in Turkey Using Intuitionistic Fuzzy TOPSIS , 2012 .

[42]  Wen-Chin Chou,et al.  A hybrid fuzzy MCDM approach for evaluating website quality of professional accounting firms , 2012, Expert Syst. Appl..

[43]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[44]  Ching-Hsue Cheng,et al.  Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly , 2006, Microelectron. Reliab..

[45]  Feng Lin,et al.  Decision making in fuzzy discrete event systems , 2007, Inf. Sci..

[46]  A. Hatami-Marbini,et al.  An Application of Fuzzy Numbers Ranking in Performance Analysis , 2009 .

[47]  Qi Liu,et al.  A multi-objective model for discovering high-quality knowledge based on data quality and prior knowledge , 2018, Inf. Syst. Frontiers.

[48]  Babak Daneshvar Rouyendegh Developing an Integrated ANP and Intuitionistic Fuzzy TOPSIS Model for Supplier Selection , 2015 .

[49]  Da Ruan,et al.  Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows , 2002, Inf. Sci..

[50]  Jacek Malczewski,et al.  Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS , 2008, Comput. Geosci..

[51]  Shan Wang,et al.  A literature review of electronic marketplace research: Themes, theories and an integrative framework , 2008, Inf. Syst. Frontiers.

[52]  Dirk Thorleuchter,et al.  Predicting e-commerce company success by mining the text of its publicly-accessible website , 2012, Expert Syst. Appl..

[53]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[54]  Diyar Akay,et al.  Personnel selection based on intuitionistic fuzzy sets , 2011 .

[55]  Huan-Jyh Shyur,et al.  COTS evaluation using modified TOPSIS and ANP , 2006, Appl. Math. Comput..