A homogeneous group decision making for selection of robotic systems using extended TOPSIS under subjective and objective factors

  • Bipradas Bairagi Department of Mechanical Engineering, Haldia Institute of Technology, India
Keywords: FMCDM, robotic system selection, homogeneous group decision making, subjective factor measure, objective factor measure.


Selection of the best robotic system considering subjective and objective factors is very imperative decision making procedure. This paper presents an extended TOPSIS based homogeneous group decision making algorithm for the selection of the best industrial robotic systems under fuzzy multiple criteria decision making (FMCDM) analysis. FPIS, FNIS, positive and negative separation measures, subjective factor measure, and objective factor measure and robot selection index are computed. A case study has been conducted and illustrated for better clarification and verification of proposed algorithm.


Download data is not yet available.


Ali, A., & Rashid, T. (2020). Best–worst method for robot selection. Soft Computing, https://doi.org/10.1007/s00500-020-05169-z.

Bhattacharya, A., Sarkar, B. & Mukherjee, S.K. (2002). Material handling equipment selection under multi criteria decision making (MCDM) environment. Industrial Engineering Journal, 31, 17–25.

Chodha, V., Dubey, R., Kumar, R., Singh, S., & Kaur, S. (2021). Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques, Materials Today: Proceedings, https://doi.org/10.1016/j.matpr.2021.04.487

Chu, T-C., & Lin, Y-C. (2003). A fuzzy TOPSIS method for robot selection. International Journal of Advanced Manufacturing Technology, 21, 284–290. DOI: https://doi.org/10.1007/s001700300033

Feng, C. M., & Wang, R. T. (2000). Performance evaluation for airlines including the consideration of financial ratios.Journal of Air Transport Management, 6, 133–142. DOI: https://doi.org/10.1016/S0969-6997(00)00003-X

Fu, Y., Li, M., Luo, Hao., & George Q. Huang. (2019). Industrial robot selection using stochastic multicriteria acceptability analysis for group decision making, Robotics and Autonomous Systems, 122, 103304.

Gorge J. Klir, & Bo Yuan. (2008). Fuzzy Sets and Fuzzy logic Theory and applications.

Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making methods and applications. New York: Springer-Verlag. DOI: https://doi.org/10.1007/978-3-642-48318-9

Kahraman, C., Cevik, S., Ates, N.Y. & Gulbay, M. (2007). Fuzzy multi-criteria evaluation of industrial robotic systems. Computers and Industrial Engineering, 52, 414–433. DOI: https://doi.org/10.1016/j.cie.2007.01.005

Majumdar, A., Sarkar, B. & Majumder, P.K. (2004). Application of analytic hierarchy process for the selection of cotton fibers. Fibers and Polymers, 5, 297–302. DOI: https://doi.org/10.1007/BF02875528

Narayanamoorthy, S., Geetha, S., Rakkiyappan, R., & Joo , Y. H. (2019). Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection. Expert Systems with Applications, 121(1), 28-37.

Nasrollahi, M., Ramezani, J. Sadraei, & Mahmoud, S. (2020). A FBWM-PROMETHEE approach for industrial robot selection.Helion, 6, e03859.

Parkan, C. & Wu, M.L. (1999). Decision making and performance measurement models with application to robot selection. Computers & Industrial Engineering, 36, 503–523. DOI: https://doi.org/10.1016/S0360-8352(99)00146-1

Shih, H. S. (2008). Incremental analysis for MCDM with an application to group TOPSIS. European Journal of Operational Research, 186, 720– 734. DOI: https://doi.org/10.1016/j.ejor.2007.02.012

Tien-Chin Wang, & Hsien-Da Lee. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert Systems with Applications, 36, 8980–8985. DOI: https://doi.org/10.1016/j.eswa.2008.11.035

Wang, Y. J., & Lee, H. S. (2007). Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers and Mathematics with Applications 53, 1762–1772. DOI: https://doi.org/10.1016/j.camwa.2006.08.037

Wang, Y. J., Lee, H. S., & Lin, K. (2003). Fuzzy TOPSIS for multi-criteria decision making. International Mathematical Journal, 3, 367–379.

Yalcin, N., & Nusin Uncu, N. (2019). Applying EDAS as an applicable MCDM method for industrial robot selection. Sigma J Engineering & Natural Science, 37 (3), 779-796.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353. DOI: https://doi.org/10.1016/S0019-9958(65)90241-X

Zimmermann, H. J. (1991). Fuzzy set theory – And its application (2nd ed.) Boston: Kluwer. DOI: https://doi.org/10.1007/978-94-015-7949-0

How to Cite
Bairagi, B. (2022). A homogeneous group decision making for selection of robotic systems using extended TOPSIS under subjective and objective factors. Decision Making: Applications in Management and Engineering. https://doi.org/10.31181/dmame0304052022b
Regular articles