Pythagorean fuzzy set (PFS) is a broadening of intuitionistic that can represent the situations where sum membership and non-membership values exceeds one. Adding parameterization to PFS, we obtain structure named as soft (PFSS). It has higher capacity deal with vagueness it captures both structures PFS set. Several practical demand measure similarity between two structures, whose value There a...

Abstract A Pythagorean fuzzy set is very effective mathematical framework to represent parameter-wise imprecision which the property of linguistic communication. soft graph more potent than intuitionistic as well it depicts interactions among objects a system using membership grades with respect different parameters. This article addresses content competition graphs economic like k -competition...

Dynamic programming (DP) is a powerful paradigm for general, nonlinear optimal control. Computing exact DP solutions is in general only possible when the process states and the control actions take values in a small discrete set. In practice, it is necessary to approximate the solutions. Therefore, we propose an algorithm for approximate DP that relies on a fuzzy partition of the state space, a...

In this manuscript, we proposed a novel framework of the q-rung orthopair fuzzy subfield (q-ROFSF) and illustrate that every Pythagorean is certain field. We extend theory discuss its diverse basic algebraic characteristics in detail. Furthermore, prove some fundamental results establish helpful examples related to them. Moreover, present homomorphic images pre-images under field homomorphism. ...

this paper extends endogenous growth models through augmenting it with government budget and oil revenues as well as the effect of public investment efficiency on long run growth of private and government consumption and import for an oil producing economy. based on the extracted model, the optimal growth rate of government current expenditure (or consumption) has a positive relation with the e...

Reverse logistics (RLs) network design issues have been popularly discussed in recent years. However, few papers in past literature have been dedicated to the use of incentive effect on return quantity of used products. This study formulates an optimization model of RLs network design based on fuzzy mathematical programming with the aim of management in allocating used product by coordinating c...

Abstract Recently, many researchers pay their attention to portfolio problems under minimax rules. Based on the uncertainty of the expected return of securities, therefore, it is of significant and interesting to study portfolio models based on fuzzy interval numbers under minimax rules(in briefly, PMFM). This PMFM-model can be regarded as a natural generalization of ordinarily portfolio model ...