A Fuzzy AHP Approach to IT-Based Stream Selection for Admission in Technical Institutions in India

  • Oindreela Saha
  • Arpita Chakraborty
  • Jyoti Sekhar BanerjeeEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)


We encounter various problems and abundance of decisions, making our world intricate with the passage of time. Some decisions are relatively simple and insignificant, whereas others are complicated and have a notable effect on our life. In order to prevent imprecise decision-making, we need a proper decision-making framework. One of the most important decisions of an engineering aspirant’s life is the selection of a stream for admission in a technical institute. It is often associated with lots of arguments, confusion, and vagueness. To overcome such situation, this paper provides a Fuzzy Analytical Hierarchy Process (FAHP) based stream selection scheme that prioritizes the vagueness of the decision makers during the stream selection procedure. Here authors considered entrance examination rank, class XII or equivalent exam marks, science related projects, and coding proficiency as the selection parameters for Information Technology (IT)-based stream selection during admission in engineering or technical colleges in India. A similar approach may be adapted to select colleges also.


  1. 1.
    Banerjee, J.S., Chakraborty, A., Chattopadhyay, A.: Fuzzy based relay selection for secondary transmission in cooperative cognitive radio networks. In: Proceedings of OPTRONIX, pp. 279–287. Springer (2017)Google Scholar
  2. 2.
    Banerjee, J.S., et al.: Relay node selection using analytical hierarchy process (AHP) for secondary transmission in multi-user cooperative cognitive radio systems. In: Proceedings of ETAEERE, pp. 745–754. Springer (2018)Google Scholar
  3. 3.
    Banerjee J.S., Chakraborty A., Chattopadhyay, A.: A novel best relay selection protocol for cooperative cognitive radio systems using fuzzy AHP. J. Mech. Continua Math. Sci. 13(2), 72–87 (2018)Google Scholar
  4. 4.
    Banerjee, J.S., Chakraborty, A., Chattopadhyay, A.: Reliable best-relay selection for secondary transmission in co-operation based cognitive radio systems: a multi-criteria approach. J. Mech. Continua Math. Sci. 13(2), 24–42 (2018)Google Scholar
  5. 5.
    Banerjee, J.S., Goswami, D., Nandi, S.: OPNET: a new paradigm for simulation of advanced communication systems. In: Proceedings of International Conference on Contemporary Challenges in Management, Technology & Social Sciences, SEMS, pp. 319–328, Lucknow, India (2014)Google Scholar
  6. 6.
    Banerjee, J.S., Chakraborty, A.: Fundamentals of software defined radio and cooperative spectrum sensing: a step ahead of cognitive radio networks. In: Kaabouch, N., Hu, W. (eds.) Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management, pp. 499–543. IGI Global, USA (2015)Google Scholar
  7. 7.
    Banerjee, J.S., Chakraborty, A.: Modeling of software defined radio architecture and cognitive radio, the next generation dynamic and smart spectrum access technology. In: Rehmani, M.H., Faheem, Y. (eds.) Cognitive Radio Sensor Networks: Applications, Architectures, and Challenges, pp. 127–158. IGI Global, USA (2014)Google Scholar
  8. 8.
    Banerjee, J.S., Chakraborty, A., Karmakar, K.: Architecture of cognitive radio networks. In: Meghanathan, N., Reddy, Y.B. (eds.) Cognitive Radio Technology Applications for Wireless and Mobile Ad Hoc Networks, pp. 125–152. IGI Global, USA (2013)Google Scholar
  9. 9.
    Banerjee, J.S., Karmakar, K.: A comparative study on cognitive radio implementation issues. Int. J. Comput. Appl. 45(15), 15, 44–51 (2012)Google Scholar
  10. 10.
    Buckley, J.J.: Fuzzy hierarchical analysis. Fuzzy Sets Syst. 17(3), 233–247 (1985)Google Scholar
  11. 11.
    Chakraborty, A., Banerjee, J.S., Chattopadhyay, A.: Non-uniform quantized data fusion rule alleviating control channel overhead for cooperative spectrum sensing in cognitive radio networks. In: Advance Computing Conference (IACC), pp. 210–215. IEEE (2017)Google Scholar
  12. 12.
    Chakraborty, A., et al.: An Advance Q Learning (AQL) approach for path planning and obstacle avoidance of a mobile robot. Int. J. Intell. Mechatron. Robot. 3(1), 53–73 (2013)Google Scholar
  13. 13.
    Chakraborty, A., Banerjee, J.S.: Effects of different digital modulation schemes for image transmission through wireless fading channels. LAP Lambert Academic Publishing (2017)Google Scholar
  14. 14.
    Chou, S.W., Chang, Y.C.: The implementation factors that influence the ERP (enterprise resource planning) benefits. Decis. Support Syst. 46(1), 149–157 (2008)Google Scholar
  15. 15.
    Dey, P.K.: Integrated project evaluation and selection using multiple-attribute decision-making technique. Int. J. Prod. Econ. 103(1), 90–103 (2006)Google Scholar
  16. 16.
    Henderson, R.: Industry employment and output projections to 2024. Monthly Lab. Rev. 138, 1 (2015)Google Scholar
  17. 17.
    Holecek, P., Talašová, J.: A free software tool implementing the fuzzy AHP methodGoogle Scholar
  18. 18.
    Paul, S., et al.: A fuzzy AHP-based relay node selection protocol for wireless body area networks (WBAN). In: Proceedings of OPTRONIX 2017 (Press), pp. 1–6. IEEE (2018)Google Scholar
  19. 19.
    Paul, S., et. al.: The extent analysis based fuzzy AHP approach for relay selection in WBAN. In: Proceedings of CISC 2018 (Press). AISC-Springer (2018)Google Scholar
  20. 20.
    Saha, O., Chakraborty, A., Banerjee, J.S.: A decision framework of IT-based stream selection using analytical hierarchy process (AHP) for admission in technical institutions. In: Proceedings of OPTRONIX 2018 (Press), pp. 1–6. IEEE (2018)Google Scholar
  21. 21.
    Saaty, T.L.: How to make a decision: the analytic hierarchy process. Eur. J. Oper. Res. 48(1), 9–26 (1990)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Oindreela Saha
    • 1
  • Arpita Chakraborty
    • 1
  • Jyoti Sekhar Banerjee
    • 1
    Email author
  1. 1.Department of ECEBengal Institute of TechnologyKolkataIndia

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