Abstract
Multi-objective linear programming (MOLP) multi-criterion decision-making problem has been solved first by using a LP modeller—PuLP written in Python and then solved it by LP method to set goal for each objective. Again, the MOLP problem has been solved in fuzzy environment to check the accuracy of most possible clarification of the goals. Here, in the proposed FLP model format, comparative weights close to the fuzzy operative term represent the relative worth of the objective functions and help to achieve the better goal. Furthermore, the projected activity based on E-learning technique is simply to be valid in that time when real world faces existent living problems (disaster/pandemic), which give improved result in the common sense that the values of objectives are adequately nearer to their goals. At last, one real model is used to exhibit the accuracy and utility of the projected process.
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Sengupta, I., Mishra, B.S.P., Mallick, P.K. (2022). Proposed Multi-criterion Decision-Making Model—On Online Education System Perspective. In: Dehuri, S., Prasad Mishra, B.S., Mallick, P.K., Cho, SB. (eds) Biologically Inspired Techniques in Many Criteria Decision Making. Smart Innovation, Systems and Technologies, vol 271. Springer, Singapore. https://doi.org/10.1007/978-981-16-8739-6_43
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DOI: https://doi.org/10.1007/978-981-16-8739-6_43
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