Suggesting Suitable Economic And Political Leaders Using Fuzzy-Analytic Hierarchy Process (Fahp)

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2019 by IJCTT Journal
Volume-67 Issue-5
Year of Publication : 2019
Authors : AJAYI, Olusola Olajide,ADERELE, Tolulope Busayo,ELEMESE, Tolulope Olawale, ADETUYI, Tolu Emmanuel
DOI :  10.14445/22312803/IJCTT-V67I5P115

MLA

MLA Style:AJAYI, Olusola Olajide,ADERELE, Tolulope Busayo,ELEMESE, Tolulope Olawale, ADETUYI, Tolu Emmanuel"Suggesting Suitable Economic And Political Leaders Using Fuzzy-Analytic Hierarchy Process (Fahp)" International Journal of Computer Trends and Technology 67.5 (2019): 85-94.

APA Style:AJAYI, Olusola Olajide,ADERELE, Tolulope Busayo,ELEMESE, Tolulope Olawale, ADETUYI, Tolu Emmanuel (2019). Suggesting Suitable Economic And Political Leaders Using Fuzzy-Analytic Hierarchy Process (Fahp) International Journal of Computer Trends and Technology, 67(5), 85-94.

Abstract
Suggesting suitable economic and political leaders has been an effort that electorates have been making but due to so many factors like godfatherism, prejudice, biasness and insecurity, it has not been effective. And these had subsequently produced contentious results which eventually led to political violence and insecurity. To this end, this study intends a predictive system that suggests suitable political and economic leaders based on attributes that match with the nation?s present needs. Taking Nigeria as a case study, online survey was carried out to „read? the minds of the populace/electorates by soliciting for information that shows the attributes of the type of leader they want. The study shall be making use of a multi-criteria decision-making algorithm which is based on Analytic Hierarchy Process (AHP) for quality leadership selection, free of strive and violence. Due to the unpredictable, blurriness of the data concerned, and the need to match attributes with requirements, Fuzzy Logic will be synergized with AHP to achieve appreciable level of predictability result. This will hope would eliminate an atmosphere of rancor, which may arise from unfair selection of suitable economic and political leaders anddecision-making processes.

Reference
[1] Ayhan, M. B. (2013). “a fuzzy ahp approach for supplier selection problem: a case study in a gearmotor company” International Journal of Managing Value and Supply Chains (IJMVSC) Vol.4, No. 3, September 2013
[2] Ball?. S. and Koruko?lu. S. (2009). “Operating system selection using fuzzy ahp and topsis methods” Mathematical and Computational Applications, Vol. 14, No. 2, pp. 119-130, 2009.
[3] Besley, T. and Burgess, R. (2002). “economic and group characteristics affect political selection, and politician behavior in office” The quarterly journal of economics, qje.oxfordjournals.org
[4] Buckley, J.J. (1985). Fuzzy Hierarchical Analysis, Fuzzy Sets and Systems, Vol.17, 233-247
[5] Chang, D. Y. (1996) “Applications of the extent analysis method on fuzzy AHP”, EuropeanJournal of Operational Research, Vol. 95(3), 649–655.
[6] Farzad, T., Mohammad, D., and Nader. A. E. (2014). “Supplier Assessment and Selection Using Fuzzy Analytic Hierarchy Process in a steel Manufacturing Company” Journal of Scientific Research & Reports3 (10): 1319-1338, 2014; Article no. JSRR.2014.10.003
[7] Jago, A. G. (1982). Leadership: Perspectives in theory and research. Management Science, 28(3), 315-336.
[8] Kilincci, O., and Onal, S. A. (2011) “Fuzzy AHP approach for supplier selection in a washingmachine company”, Expert Systems with Applications, Vol. 38(8), 9656-9664.
[9] Laarhoven, P.J.M., and Pedrycz, W. (1983). “A fuzzy extension of Saaty?s priority Theory”, Fuzzy Sets and Systems, Vol. 11(1-3), 199-227.
[10] Mahmoodzadeh, S., Shahrabi, J., Pariazar, M., and Zaeri, M., S. (2007). Project Selection by Using Fuzzy AHP and TOPSIS Technique” World Academy of Science, Engineering and Technology 30. Pg.333 -338
[11] Meysam, S. and Marsha A. (2012). “using fuzzy multi criteria decision making approach for ranking the web browsers” International Journal of Economics and Management Sciences Vol. 1, No. 8, pp. 72-86
[12] Northouse, G. (2007). Leadership theory and practice. (3rd.) Thousand Oak, London, New Delhi, Sage Publications, Inc.
[13] Rouyendegh, B. D., and Erkan, T. E., (2012). “selection of academic staff using the fuzzy analytic hierarchy process (fahp): a pilot study” ISSN 1330-3651 udc/udk 658.310.8-057.4:65.012.123 Pg. 923-929
[14] Saaty, T.L. (1980). The Analytic Hierarchy Process, Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York.
[15] Shaverdi, M., Akbari, M., and Emamipour, S. (2012). Using Fuzzy MultiCriteria Decision Making Approach for Ranking the Web Browsers. International Journal of Economics and Management Sciences. Vol. 1, No. 8, pp. 72-86
[16] Stogdill, R. M. (1989). Stogdill`s Handbook of Leadership: A Survey of Theory and Research. Bass, B. (ed.) New York: Free Press.
[17] U.S. Army. (1983). Military Leadership (FM 22-100). Washington DC: U.S. Government Printing Office.
[18] Yu-Cheng. T., and Thomas. W. L. (2011). “Application of the fuzzy analytic hierarchy process to the lead-free equipment selection decision” Int. J. Business and Systems Research, Vol. 5, No. 1, 2011 Pg. 35-55.
[19] Zadeh, L. A. (1971). Toward a Theory of Fuzzy Systems, in: Aspects of Network and System Theory, Kalman, R.E., DeClaris, N. eds., Holt, Rinehart and Winston, New York, pp. 469-490
[20] Zeitchik, S. (2012). 10 ways to define leadership. Business News Daily.
[21] Zhu, K. J., Jing, Y., and Chang, D. Y. (1999). “A Discussion on Extent Analysis Method and Applications of Fuzzy-AHP”, European Journal of Operational Research, 116, pp. 450-456

Keywords
leaders, AHP, Fuzzy, godfatherism, electorates, selection, suitable, decision