An intuitionistic method for the selection of a risk management approach to information technology projects

Over the past twenty years, institutions and individuals have proposed a wide variety of standards, models and methodologies for the management of risk, many of which can be applied to projects in the area of information technology (IT). The purpose of this research was to develop a method for the selection of the most suitable option for the management of risk in IT projects, in accordance with the needs of the organization. In order to obtain a simplified, more intuitive and easier to implement method, we developed a new graphical vectorial approach by modifying an intuitionistic procedure for its adaptation as a multi-criteria tool for managerial decision-making. The method is complemented by Mean-Variance calculations. The weights of the evaluation criteria are obtained by a graphical approach to the Fuzzy analytic hierarchy process (FAHP). The application of the proposed method was preceded by a documentary research and the use of mapping study techniques for the pre-selection of options. A numerical example based on a case study permits to test the suitability of the proposal. Several future lines of investigation are proposed.

[1]  Cengiz Kahraman,et al.  Fuzzy Multicriteria Decision-Making: A Literature Review , 2015, Int. J. Comput. Intell. Syst..

[2]  Cengiz Kahraman,et al.  Project risk evaluation using a fuzzy analytic hierarchy process: An application to information technology projects: Research Articles , 2006 .

[3]  Debashree Guha,et al.  Preference programming approach for solving intuitionistic fuzzy AHP , 2015, Int. J. Comput. Intell. Syst..

[4]  Abdelrafe Elzamly,et al.  Identifying And Managing Software Project Risks With Proposed Fuzzy Regression Analysis Techniques : Maintenance Phase , 2014 .

[5]  W. Duncan.  A GUIDE TO THE PROJECT MANAGEMENT BODY OF KNOWLEDGE , 1996 .

[6]  Diyar Akay,et al.  A biparametric similarity measure on intuitionistic fuzzy sets with applications to pattern recognition , 2014, Inf. Sci..

[7]  Babak Daneshvar Rouyendegh.  DEVELOPING AN INTEGRATED AHP AND INTUITIONISTIC FUZZYTOPSIS METHODOLOGY , 2014 .

[8]  David L. Olson,et al.  Similarity measures between intuitionistic fuzzy (vague) sets: A comparative analysis , 2007, Pattern Recognit. Lett..

[9]  Claes Wohlin,et al.  On the reliability of mapping studies in software engineering , 2013, J. Syst. Softw..

[10]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[11]  Z. S. Xu,et al.  An Overview of Distance and Similarity Measures of Intuitionistic Fuzzy Sets , 2008, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[12]  Decui Liang,et al.  Deriving three-way decisions from intuitionistic fuzzy decision-theoretic rough sets , 2015, Inf. Sci..

[13]  Dug Hun Hong,et al.  A Note on Similarity Measures between Vague Sets and between Elements , 1999, Inf. Sci..

[14]  Xue Deng,et al.  Some new results on value ranges of risks for mean-variance portfolio models , 2013, Inf. Sci..

[15]  Alessio Ishizaka,et al.  Comparison of fuzzy logic, AHP, FAHP and hybrid fuzzy AHP for new supplier selection and its performance analysis , 2014 .

[16]  Per Runeson,et al.  Software product line testing - A systematic mapping study , 2011, Inf. Softw. Technol..

[17]  Gül Tekin Temur,et al.  A fuzzy integrated approach for project selection , 2014, J. Enterp. Inf. Manag..

[18]  Francisco Ortega,et al.  A method for the evaluation of risk in IT projects , 2016, Expert Syst. Appl..

[19]  Barbara Kitchenham,et al.  What's up with software metrics? - A preliminary mapping study , 2010, J. Syst. Softw..

[20]  Peng Liang,et al.  A systematic mapping study on technical debt and its management , 2015, J. Syst. Softw..

[21]  Kai Petersen,et al.  Systematic Mapping Studies in Software Engineering , 2008, EASE.

[22]  Francisco Herrera,et al.  Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects , 2014, Inf. Sci..

[23]  H. Iranmanesh,et al.  Risk Evaluation of Information Technology Projects Based on Fuzzy Analytic Hierarchal Process , 2008 .

[24]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[25]  Hoang Nguyen,et al.  A novel similarity/dissimilarity measure for intuitionistic fuzzy sets and its application in pattern recognition , 2016, Expert Syst. Appl..

[26]  K. Atanassov,et al.  Interval-Valued Intuitionistic Fuzzy Sets , 2019, Studies in Fuzziness and Soft Computing.

[27]  Zeshui Xu,et al.  Information fusion for intuitionistic fuzzy decision making: An overview , 2016, Information Fusion.

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

[29]  Solomon Tesfamariam,et al.  Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP) , 2009 .

[30]  George A. Papakostas,et al.  Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view , 2013, Pattern Recognit. Lett..

[31]  Gang Qian,et al.  An Intuitionistic Fuzzy AHP Based on Synthesis of Eigenvectors and its Application , 2011 .

[32]  Zeshui Xu,et al.  Intuitionistic Fuzzy Analytic Hierarchy Process , 2014, IEEE Transactions on Fuzzy Systems.

[33]  Rick Kazman,et al.  Using Economic Considerations to Choose Among Architecture Design Alternatives , 2001 .

[34]  Tiaojun Xiao,et al.  Electronic price-testing scheme for fashion retailing with information updating , 2012 .

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

[36]  Qing-wei Cao,et al.  Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems , 2013 .

[37]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[38]  Vladik Kreinovich,et al.  On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems , 2007, Inf. Sci..

[39]  C K Kwong,et al.  Determining the Importance Weights for the Customer Requirements in QFD Using a Fuzzy AHP with an Extent Analysis Approach , 2003 .

[40]  Zhang Wen.  Measures of similarity between vague sets , 2004 .

[41]  Madjid Tavana,et al.  An Integrated Intuitionistic Fuzzy AHP and SWOT Method for Outsourcing Reverse Logistics Highlights , 2015 .

[42]  Natalia Juristo Juzgado,et al.  Developing search strategies for detecting relevant experiments , 2009, Empirical Software Engineering.

[43]  Ahmad Makui,et al.  An IF-DEMATEL-AHP based on Triangular Intuitionistic Fuzzy Numbers (TIFNs) , 2015 .

[44]  Cengiz Kahraman,et al.  Project risk evaluation using a fuzzy analytic hierarchy process: An application to information technology projects , 2006, Int. J. Intell. Syst..

[45]  Helmut Krcmar,et al.  Calculating the conditional value at risk in IS projects: towards a single measure of project risk , 2011, ECIS.

[46]  Victor I. Chang,et al.  Organisational sustainability modelling - An emerging service and analytics model for evaluating Cloud Computing adoption with two case studies , 2016, Int. J. Inf. Manag..

[47]  Shyi-Ming Chen,et al.  A novel similarity measure between Atanassov's intuitionistic fuzzy sets based on transformation techniques with applications to pattern recognition , 2015, Inf. Sci..

[48]  C. Ong,et al.  Management of information technology investment: A framework based on a Real Options and Mean–Variance theory perspective , 2008 .

[49]  Yafei Song,et al.  A novel similarity measure on intuitionistic fuzzy sets with its applications , 2014, Applied Intelligence.

[50]  Francisco Ortega,et al.  A method for the selection of customized equipment suppliers , 2013, Expert Syst. Appl..

[51]  Siti Mariyam Shamsuddin,et al.  Selection of defuzzification method to obtain crisp value for representing uncertain data in a modified sweep algorithm , 2003 .

[52]  Bo Zhou,et al.  An Earned-Value Approach to Assess and Monitor Software Project Uncertainty: A Case Study in Software Test Execution , 2010 .

[53]  Nachiappan Subramanian,et al.  A review of applications of Analytic Hierarchy Process in operations management , 2012 .

[54]  Fanyong Meng,et al.  Entropy and similarity measure of Atanassov’s intuitionistic fuzzy sets and their application to pattern recognition based on fuzzy measures , 2014, Pattern Analysis and Applications.

[55]  Ian K. T. Tan,et al.  Relative trust management model for twitter: an analytic hierarchy process approach , 2014 .