Interval Valued Bipolar Fuzzy Prioritized Weighted Dombi Averaging Operator Based On Multi-Criteria Decision Making Problems

In this paper, we develop to a new operator by using together IVBFS and Dombi operators. Also, the some properties of concept are introduced like addition, scalar multiplication, power, multiplication. The presented is Interval Valued Bipolar Fuzzy Prioritized Weighted Averaging (IVBFPWDA) various offered idempotency, monotoncity, boundedness. Then, present score function similar over (IVBFSs) [5] for ranking aggregated values. Moreover, applied an investment example. results show that our reality, objective agreement in its own. comparative analysis given fuzzy sets [5]. As can be seen from comparison with aggregation agreement. But has more advantages than operators example; flexible changeable. Thus; prefer, need requirement decision makers met easily. approach always essential because into