Aggregation operators perform a valuable and significant role in various decision-making processes. Averaging geometric aggregation are both used for capturing the interrelationships of aggregated preferences, even if preferences independent. The purpose this paper is to analyze theory complex linguistic fuzzy (CLF) sets their important laws, such as algebraic score values, accuracy describe re...

We introduce a new aggregation operator called the heavy ordered weighted averaging – weighted averaging (HOWAWA) operator. It is a new aggregation operator that uses the weighted average and the ordered weighted average in the same formulation and considering the degree of importance that each concept has in the analysis. Moreover, by using heavy aggregations, we are allowing the weighting vec...

Prior weights are necessary for the application of ordered weighted averaging (OWA) operators, but obtaining them is expensive and contentious, which restricts operators. To address weighting issue, weight space used to “replace” conventional vector, operator comparison then extended a partial order on space. The results show that OWA can be as long clear, is, there no need take accurate values...

The objective of this paper is to introduce some new logarithm operational laws for intuitionistic fuzzy sets. Some structure properties have been developed and based on these, various aggregation operators, namely confidence logarithmic Einstein weighted geometric (CLIFEWG) operator, ordered (CLIFEOWG) hybrid (CLIFEHG) averaging (CLIFEWA) (CLIFEOWA) (CLIFEHA) operator presented. To show the va...

This paper extends the technique for order preference by similarity to ideal solution (TOPSIS) for solving multi-attribute group decision making (MAGDM) problems under triangular intuitionistic fuzzy sets by using its correlation coefficient. In situations where the information or the data is of the form of triangular intuitionistic fuzzy numbers (TIFNs), some arithmetic aggregation operators h...

A fuzzy number intuitionistic fuzzy set (FNIFS) is a generalization of intuitionistic fuzzy set. The fundamental characteristic of FNIFS is that the values of its membership function and non-membership function are trigonometric fuzzy numbers rather than exact numbers. In this paper, we define some operational laws of fuzzy number intuitionistic fuzzy numbers, and, based on these operational la...

The type-1 ordered weighted averaging (T1OWA) operator has demonstrated the capacity for directly aggregating multiple sources of linguistic information modeled by fuzzy sets rather than crisp values. Yager's (OWA) operators possess properties idempotence, monotonicity, compensativeness, and commutativity. This article aims to address whether or not T1OWA these when inputs associated weights ar...

Naturalness Mapping of Fereydounshahr County with Respect to Ecotourism, Using Ordered Weighted Averaging Operator

We analyze different types of aggregation operators based on the use of probabilities, weighted averages (WAs) and generalized aggregation operators. We present the generalized probabilistic weighted averaging (GPWA) operator. It is a new aggregation operator that unifies the WA and the probability in the same formulation considering the degree of importance that each concept has in the analysi...