Multi-attribute decision-making (MADM) is commonly used to investigate fuzzy information effectively. However, selecting the best alternative not always symmetric because alternatives do have complete information, so asymmetric often involved. Expressing under uncertainty using closed subintervals of [0, 1] beneficial and effective instead crisp numbers from 1]. The goal this paper enhance noti...

Aggregation operators (AOs) are utilized to overcome the influence of uncertain and vague information in different fuzzy environments. A multi-attribute decision-making (MADM) technique plays a vital role several fields environments such as networking analysis, risk assessment, cognitive science, recommender systems, signal processing, many more domains ambiguous circumstances. In this article,...

Contrast is a distinctive image feature that tells if it has adequate visual quality or not. On many occasions, images are captured with low-contrast due to inevitable obstacles. Therefore, an improved type-II fuzzy set-based algorithm developed enhance the contrast of various color and grayscale properly while preserving brightness providing natural colors. The proposed utilizes new upper lowe...

In order to be able make a good decision, we need evaluate the uncertainty information of multiple attributes different alternatives that obey normal distribution, and interrelationship among should considered in process evaluating. This paper aims propose new attribute decision-making (MADM) method, which uses aggregation operator distribution comprehensively. We firstly extended Schweizer-Skl...

In this paper, a logarithmic operational law for intuitionistic fuzzy numbers is defined, in which the based $$\ell$$ real number such that $$\ell \in \left( {0,1} \right)$$ with condition \ne 1$$ . Some properties of laws have been studied and on these, several Einstein averaging geometric operators, namely weighted (LIFEWA) operator, ordered (LIFEOWA) hybrid (LIFEHA) (LIFEWG) (LIFEOWG) (LIFEH...

Abstract The complex q-rung orthopair fuzzy (CQ-ROF) set can describe the uncertain information. In this manuscript, we develop Yager operational laws based on CQ-ROF information and t-norm t-conorm. Furthermore, in aggregating values, power, averaging, geometric aggregation operators have played a very essential critical role environment of set. Inspired from discussed operators, propose power...

The principle of a complex interval-valued Pythagorean fuzzy set (CIVPFS) is valuable procedure to manage inconsistent and awkward information genuine life troubles. CIVPFS mixture the two separated theories such as which covers truth grade (TG) falsity (FG) in form number whose real unreal parts are sub-interval unit interval. superiority that sum square upper part (also for an part) duplet re...

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...

In decision making problems, complex q-rung orthopair fuzzy set is regarded as a more practical tool than intuitionistic and set. This paper proposes several aggregation operators based on the Aczel-Alsina t-norm t-conorm for aggregating data. The suggested are then used to establish multiple criteria decision-making (MCDM) method. operations can have advantage of good flexibility with operatio...