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- W4386324902 abstract "Abstract In real life situations, fractional objectives are considered as a better tool for measuring efficiency of a system. These days, various businesses prefers to maximize their efficiency rather than only maximizing their output. Fractional objective gives a better view at efficiency and thus are used most often in practical decision making situations. For example, ratios like profit/cost, sales/inventory are maximized in production planning problems; whereas in health care system, the ratios like nurses/patients, nurses/rooms are optimized. While solving a real-world optimization problem, the state of impreciseness and indeterminacy are inevitable because of uncontrollable factors such as fluctuating market conditions, weather conditions, political scenarios etc. and thus the decision maker needs to involve components that can be used to represent the impreciseness and uncertainty while formulating the mathematical models to solve such optimization problems. The concept of intuitionistic fuzzy numbers, as given in fuzzy set theory, can be used to handle such situations. In this work, an approach for solving multi-objective intuitionistic fuzzy linear fractional programming problem (IFLFPP) has been presented. While solving the optimization problem, the component-wise optimization method is used to handle the impreciseness and then the fuzzy goal programming approach is used to handle the multi-objective nature of the problem. A real life optimization problem in organization planning is also modelled and solved efficiently in this work by using the proposed approach." @default.
- W4386324902 created "2023-09-01" @default.
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- W4386324902 date "2023-08-31" @default.
- W4386324902 modified "2023-09-27" @default.
- W4386324902 title "A novel multi-objective linear fractional optimization model in intuitionistic fuzzy environment and its application in organization planning" @default.
- W4386324902 doi "https://doi.org/10.21203/rs.3.rs-2927440/v1" @default.
- W4386324902 hasPublicationYear "2023" @default.
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