A Decision Framework for Course Recommendation Using Basic Uncertain Linguistic Information Soft Sets

Peitao Qin; Zhifu Tao; Dragan Pamucar

doi:10.31181/dmame8220251494

Authors

Peitao Qin School of Marxism, Anhui University, Hefei Anhui, 230601 China
Zhifu Tao School of Big Data and Statistics, Anhui University, Hefei Anhui, 230601 China
Dragan Pamucar Széchenyi István University, Győr, Hungary

DOI:

https://doi.org/10.31181/dmame8220251494

Keywords:

Basic uncertain linguistic information soft set; multi-criteria group decision making; accessibility; set operations; curriculum recommendation.

Abstract

The aim of this paper is to provide fundamental theoretical studies on basic uncertain linguistic information soft set (BULISS). Firstly, the combination of basic uncertain linguistic information and soft set is introduced. Next, set operations and similarity measure on basic uncertain linguistic information soft sets and their properties are discussed. A novel application of basic uncertain linguistic information soft set to multi-criteria group decision making is put forward, in which the similarity measure between any two BULISSs is developed. A group decision algorithm by utilizing traditional decision procedure of soft set theory (or fuzzy soft set theory) and optimization method is given. Finally, a case study relating to curriculum recommendation is shown to illustrate feasibility and validity of the developed group decision making approach.

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References

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