LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

A Novel Approach Toward Q-Rung Orthopair Fuzzy Rough Dombi Aggregation Operators and Their Application to Decision-Making Problems

Photo from wikipedia

Since three way decision making is a better tool in order to deal with uncertain decision making problem. Therefore, in this paper a three way decision making approach is presented… Click to show full abstract

Since three way decision making is a better tool in order to deal with uncertain decision making problem. Therefore, in this paper a three way decision making approach is presented under q-rung orthopair fuzzy rough set environment. We first define some Dombi-operational laws for q-rung orthopair fuzzy rough set. Further, using the proposed operational laws some q-rung orthopair fuzzy rough Dombi aggregation operators namely, q-Rung Orthopair fuzzy rough Dombi weighted average (q-ROFRDWA) operator, q-Rung Orthopair fuzzy rough Dombi ordered weighted average (q-ROFRDOWA) operator and q-Rung Orthopair fuzzy rough Dombi hybrid weighted average (q-ROFRDHWA) operator are proposed. Also, some properties of the developed operators are investigated in details. Moreover, we present a three way decision making approach based on the developed aggregation operators with q-rung orthopair fuzzy rough set setting. Furthermore, a numerical example is presented for the effectiveness and application of the proposed method. Finally, a comparative study is conducted with other existing methods.

Keywords: orthopair fuzzy; rung orthopair; dombi; decision making; fuzzy rough

Journal Title: IEEE Access
Year Published: 2023

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.