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Volume 9, Issue 1
The Hesitant Fuzzy Weighted OWA Operator and its Application In Multiple Attribute Decision Making

Sun Min and Liu Jing

J. Info. Comput. Sci. , 9 (2014), pp. 075-080.

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  • Abstract
The weighted ordered weighted averaging(WOWA) operator introduced by Torra is an important aggregation technique, which includes the famous weighted averaging(WA) operator and the ordered weighted averaging(OWA) operator as special cases. In this paper, we introduce a new hesitant fuzzy decision making technique called the hesitant fuzzy weighted OWA(HFWOWA) operator. It is an extension of the WOWA operator with the uncertain information represented as hesitant fuzzy numbers.It is shown that many existing hesitant fuzzy aggregation operators are the special cases of our proposed operator. We also study some of its main properties, such as commutativity, monotonicity and boundary.Moreover, an approach is proposed for multiple attribute decision making based on the proposed operator. Finally, an example is given to illustrate the developed method.
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@Article{JICS-9-075, author = {Sun Min and Liu Jing}, title = {The Hesitant Fuzzy Weighted OWA Operator and its Application In Multiple Attribute Decision Making}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {9}, number = {1}, pages = {075--080}, abstract = { The weighted ordered weighted averaging(WOWA) operator introduced by Torra is an important aggregation technique, which includes the famous weighted averaging(WA) operator and the ordered weighted averaging(OWA) operator as special cases. In this paper, we introduce a new hesitant fuzzy decision making technique called the hesitant fuzzy weighted OWA(HFWOWA) operator. It is an extension of the WOWA operator with the uncertain information represented as hesitant fuzzy numbers.It is shown that many existing hesitant fuzzy aggregation operators are the special cases of our proposed operator. We also study some of its main properties, such as commutativity, monotonicity and boundary.Moreover, an approach is proposed for multiple attribute decision making based on the proposed operator. Finally, an example is given to illustrate the developed method. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22599.html} }
TY - JOUR T1 - The Hesitant Fuzzy Weighted OWA Operator and its Application In Multiple Attribute Decision Making AU - Sun Min and Liu Jing JO - Journal of Information and Computing Science VL - 1 SP - 075 EP - 080 PY - 2024 DA - 2024/01 SN - 9 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22599.html KW - hesitant fuzzy sets, multiple attribute decision making, HFWOWA operator. AB - The weighted ordered weighted averaging(WOWA) operator introduced by Torra is an important aggregation technique, which includes the famous weighted averaging(WA) operator and the ordered weighted averaging(OWA) operator as special cases. In this paper, we introduce a new hesitant fuzzy decision making technique called the hesitant fuzzy weighted OWA(HFWOWA) operator. It is an extension of the WOWA operator with the uncertain information represented as hesitant fuzzy numbers.It is shown that many existing hesitant fuzzy aggregation operators are the special cases of our proposed operator. We also study some of its main properties, such as commutativity, monotonicity and boundary.Moreover, an approach is proposed for multiple attribute decision making based on the proposed operator. Finally, an example is given to illustrate the developed method.
Sun Min and Liu Jing. (2024). The Hesitant Fuzzy Weighted OWA Operator and its Application In Multiple Attribute Decision Making. Journal of Information and Computing Science. 9 (1). 075-080. doi:
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