IJMSC Vol. 4, No. 1, 8 Jan. 2018
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Information Systems (IS), Information Systems Quality (ISQ), International Standards for Organization (ISO), Multi-Criteria Decision Making (MCDM), Single Valued Triangular Neutrosophic Number (SVTrN)
One of the most important reasons for information systems failure is lack of quality. Information Systems Quality (ISQ) evaluation is important to prevent the lack of quality. ISQ evaluation is one of the most important Multi-Criteria Decision Making (MCDM) problems. The concept of Single Valued Triangular Neutrosophic Numbers (SVTrN-numbers) is a generalization of fuzzy set and intuitionistic fuzzy set that make it is the best fit in representing indeterminacy and uncertainty in MCDM. This paper aims to introduce an ISQ evaluation model based on SVTrN- numbers with introducing two types of evaluating and ranking methods. The results indicated that the proposed model can handle ill-known quantities in evaluating ISQ. Also by analyzing and comparing results of ranking methods, the results indicated that each method has its own advantage that make the proposed model introduces more than one option for evaluating and ranking ISQ.
Samah Ibrahim Abdel Aal, Mahmoud M. A. Abd Ellatif, Mohamed Monir Hassan,"Proposed Model for Evaluating Information Systems Quality Based on Single Valued Triangular Neutrosophic Numbers", International Journal of Mathematical Sciences and Computing(IJMSC), Vol.4, No.1, pp.1-14, 2018.DOI: 10.5815/ijmsc.2018.01.01
[1]Al-Qutaish, R. An Investigation of the Weaknesses of the ISO 9126 International Standard. 2nd Int. Con. Comput. Elect. Eng. IEEE. 2009.
[2]Atanassov. K. T. Intuitionistic fuzzy sets. Pysica-Verlag A Springer-Verlag Company. New York. 1999.
[3]Atanassov, K. Intuitionistic fuzzy sets. Fuzz. Set. Syst. 1986, 20, 87–96.
[4]Chen, J., Ye, J. Some Single-Valued Neutrosophic Dombi Weighted Aggregation Operators for Multiple Attribute Decision-Making. Symmetry. MDPI. 2017, 9(6).
[5]De, K. P., Das, D. A Study on Ranking of Trapezoidal Intuitionistic Fuzzy Numbers. Int. J. Comput. Inform. Syst. & Indu. Mana. Applic. 2014, 6, 437-444.
[6]Deli, I., ?uba?, Y. A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision making problems. Int. J. Mach. Learn. & Cyber. 2016.
[7]Deli, I., Subas, Y. Single valued neutrosophic numbers and their applications to multi-criteria decision making problem. Neutro. Set. Syst. 2014, 2(1), 1–13.
[8]Durgesh, S., Su-Hua, W., Dengjie, C. Quality Models: Role and Value in Software Engineering. 2nd Int. Con. Soft. Tech. & Eng. (ICSTE). 2010, 320-324.
[9]International Organization for Standardization. ISO/IEC 9126-1- Software engineering - product quality-part 1 Quality model. ISO/IEC. 2001.
[10]International Organization for Standardization. ISO/IEC 25030 - Software engineering-Software product Quality Requirements and Evaluation (SQuaRE)-Quality requirements. ISO/IEC. 2007.
[11]International Organization for Standardization. ISO/IEC-25012 - Software engineering - Software product Quality Requirements and Evaluation (SQuaRE) - Data quality model. 2008.
[12]International Organization for Standardization. ISO/IEC 25010 - Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — System and software quality models. ISO/IEC. 2011.
[13]Li, D. A ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems. Comput. & Math. Applic. 2010, 60, 1557–1570.
[14]Li, D., Nan, J., Zhang, M. A ranking method of triangular intuitionistic fuzzy numbers and application to decision making. Int. J. Comput. Intell. Syst. 2010, 3(5), 522–530.
[15]Liang, C., Zhao, S., Zhang, J. Aggregation operators on triangular intuitionistic fuzzy numbers and its application to multi-criteria decision making problems. Found. Comput. & Deci. Sci. 2014, 39.
[16]Liu, P., Zhang, X. Some maclaurin symmetric mean operators for single-valued trapezoidal neutrosophic numbers and their applications to group decision making, international journal of fuzzy system. Int. J. Fuzz. Syst. 2017.
[17]Miguel, J., Mauricio, D., Rodríguez, G. A Review of Software Quality Models for the Evaluation of Software Products. Int. J. Soft. Eng. & Applic. (IJSEA). 2014, 5(6).
[18]Mitchell, B. Ranking - Intuitionistic Fuzzy numbers. Int. J. Uncert. Fuzz. Knowl. Bas. Syst. 2004, 12, 377–386.
[19]Oriol, M., Marco, J., Franch, X. Quality models for web services. A syst. map. Inform. & Soft. Tech. 2014, 56, 1167–1182.
[20]Peng, J., Wang, J., Wu, X., Wang, J., Chen, X. Multivalued neutrosophic sets and power aggregation operators with their applications in multi-criteria group decision-making problems. Int. J. Comput. Intell. Syst. 2014, 8(2), 345–363.
[21]Prakash, K., Suresh, M., Vengataasalam, S. A new approach for ranking of intuitionistic fuzzy numbers using a centroid concept. Math Sci. 2016, 10, 177–184.
[22]Smarandache, F. Neutrosophic set a generalisation of the intuitionistic fuzzy sets. Int. J. Pure. Applic. Math. 2005, 24, 287–297.
[23]Smarandache, F. Neutrosophy: Neutrosophic Probability, Set, and Logic: Analytic Synthesis & Synthetic Analysis. Ameri. Res. Press: Rehoboth. DE. USA. 1998.
[24]Srivastava, P., Kumar, K. an Approach towards Software Quality Assessment. Springer-Verlag Berlin Heidelberg. 2009, 150–160.
[25]Subas,Y. Neutrosophic numbers and their application to Multi-attribute decision making problems (In Turkish) (Master’s Thesis, Kilis 7 Aral?k University, Graduate School of Natural and Applied Science). 2015.
[26]Ye, J. Expected value method for intuitionistic trapezoidal fuzzy multicriteria decision-making problems, Int. J. Gen. Syst. 2011, 38, 11730-11734.
[27]Ye, J. Multi criteria decision-making method using the correlation coefficient under single-value neutrosophic environment. Int. J. Gen. Syst. 2013, 42, 386–394.
[28]Ye, J. A multi criteria decision-making method using aggregation operators for simplified neutrosophic sets. J. Intell. Fuzz. Syst. 2014, 26, 2459–2466.
[29]Ye, J. Trapezoidal neutrosophic set and its application to multiple attribute decision-making. Neural. Comput & Applic. 2015, 26, 1157–1166.
[30]Yu, D. Intuitionistic trapezoidal fuzzy information aggregation methods and their applications to teaching quality evaluation. J. Inform. & Comput. Sci. 2013, 10(6), 1861–1869.
[31]Yavari, A., Golbaghi, M., Momeni, H. Assessment of Effective Risk in Software Projects based on Wallace’s Classification Using Fuzzy Logic. I.J. Information Engineering and Electronic Business, 2013, 4, 58-64
[32]SalamaA., Broumi S., Smarandache F. Neutrosophic Crisp Open Set and Neutrosophic Crisp Continuity via Neutrosophic Crisp Ideals. I.J. Information Engineering and Electronic Business, 2014, 3, 1-8
[33]Salama A., Broumi S., Alblowi S. Introduction to Neutrosophic Topological Spatial Region, Possible Application to GIS Topological Rules. I.J. Information Engineering and Electronic Business, 2014, 6, 15-21.