Application of Fuzzy Cognitive Map
Techniques in Family Decision Making

Dr.G. Nirmala; S. Jeevitha

doi:https://doi.org/10.14445/22315373/IJMTT-V48P545

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 48 | Number 5 | Year 2017 | Article Id. IJMTT-V48P545 | DOI : https://doi.org/10.14445/22315373/IJMTT-V48P545

Application of Fuzzy Cognitive Map Techniques in Family Decision Making

Dr.G. Nirmala, S. Jeevitha

Citation :

Dr.G. Nirmala, S. Jeevitha, "Application of Fuzzy Cognitive Map Techniques in Family Decision Making," International Journal of Mathematics Trends and Technology (IJMTT), vol. 48, no. 5, pp. 297-300, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V48P545

Abstract

For many family problems it is difficult to make decisions, homework or develop plans based on precise quantitative models. Fuzzy Cognitive Maps (FCM) is a well-known tool for qualitative analysis of systems that uses a simple representation of knowledge in the form of a graph of concepts linked by causal relationships. The advantages of FCMs are the ease of gathering and representing knowledge and the simplicity of reasoning techniques, very close to neural networks. This paper discusses the solutions of experiments aiming at application of FCMs to the analysis of development scenarios for examine and training units (e.g. family within members). The motivation for the work was an intention to investigate FCM techniques on a real, yet appealing example. The problem was chosen for two reasons. The first is a potential interest in the real life community in outcome of analyzes; the second is the ease of perception of the problem domain, what facilitates the interpretation of obtained solutions.

Keywords

Fuzzy Cognitive Maps, Complex Systems, Casual Relations, Decision Making, Simulation.

References

[1] Axelrod, R. (1976) Structure of Decision: The Cognitive Maps of Political Elites, Princeton University Press, Princeton.
[2] Basra, V., Hartono, E., Lederer, A.L. and Sethi, V. (2002) „The impact of organizational commitment, senior management involvement, and team involvement on strategic informationsystems planning‟, Information & Management, Vol. 39, No. 6, pp.513–524.
Bechor, T., Neumann, S., Zviran, M. and Glezer, C. (2010) „A contingency model for estimating success of strategic information systems planning‟, Information & Management, Vol. 47,pp.17–29.
[3] Bezdek, J.C. (1993) „Fuzzy models – what are they, and why‟, IEEE Transactions on FuzzySystems.
[4] Bryson, N., Mobolurin, A. and Joseph, A. (1997) „Generating consensus fuzzy cognitive maps‟, Intelligent Information Systems, Vol. 8, No. 10, pp.231–235.
[5] Bueno, S. and Salmeron, J.L. (2008) „Fuzzy modelling enterprise resource planning tool selection‟, Computer Standards & Interfaces, Vol. 30, No. 3, pp.137–147.
[6] Chi, L., Jones, K.G., Lederera, A.L., Li, P., Newkirk, H.E. and Sethi, V. (2005) „Environmental assessment in strategic information systems planning‟, International Journal of Information Management, Vol. 25, No. 3, pp.253–269.
[7] Cohen, J. (2008) „Contextual determinants and performance implications of information systems strategy planning within South African firms‟, Information & Management, Vol. 45,pp.547–555.
[8] Rishi, B.J. and Goyal, D.P. (2008) „Success factors in the implementation of strategic informationsystems: an empirical investigation of public sector undertakings in India‟, Journal of Advances in Management Research, Vol. 5, No. 1, pp.46–55.
[9] Shirazi, M.A. and Soroor, J. (2007) „An intelligent agent-based architecture for strategic information system applications‟, Knowledge-Based Systems, Vol. 20, pp.726–735.
[10] Taber, R. (1991) „Knowledge processing with fuzzy cognitive maps‟, Expert Systems with Applications, Vol. 2, No. 1, pp.83–87.
[11] Tan, B., Sia, C., Teo, H. and Wei, K. (1995) „Maximizing the gains from strategic informationsystems through an integrated planning approach‟, International Journal of Computer Applications in Technology, Vol. 8, Nos. 5/6, pp.307–314.
[12] Teubner, R.A. (2007) „Strategic information systems planning: a case study from the financial services industry‟, Journal of Strategic Information Systems, Vol. 16, pp.105–125.
[13] Venkatraman, N., Henderson, J.C. and Oldach, S. (1993) „Continuous strategic alignment: exploiting information technology capabilities for competitive success‟, European Management Journal, Vol. 11, No. 2, pp.139–149.
[14] Vitale, M.R., Ives, B. and Beath, C.M. (1986) „Linking information technology and corporate strategy: an organizational view‟, Proceedings of the Seventh International Conference on Information Systems, 15–17 December, pp.265–276.
[15] Zhang, W.R., Chen, S.S. and Bezdek, J.C. (1989) „Pool2: a generic system for cognitive map development and decision analysis‟, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 19, No. 1, pp.31–39.
[16] Zhang, W.R., Chen, S.S., Wang, W. and King, R. (1992) „A cognitive-map-based approach to the coordination of distributed cooperative agents‟, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 22, No. 1, pp.103–114.
[17] Zimmermann, H.J. (1991) Fuzzy Set Theory and its Applications, Kluwer Academic Publishers, Dordrecht.