Robotic sensor based on score and accuracy values in q-rung complex diophatine neutrosophic normal set with an aggregation operation

Murugan Palanikumar; Nasreen Kausar; Harish Garg; Seifedine Kadry; Jungeun Kim

Alexandria Engineering Journal (Aug 2023)

Robotic sensor based on score and accuracy values in q-rung complex diophatine neutrosophic normal set with an aggregation operation

Murugan Palanikumar,
Nasreen Kausar,
Harish Garg,
Seifedine Kadry,
Jungeun Kim

Affiliations

Murugan Palanikumar: Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India
Nasreen Kausar: Department of Mathematics, Faculty of Arts and Science, Yildiz Technical University, Esenler, 34220, Istanbul, Turkey; Corresponding authors.
Harish Garg: School of Mathematics, Thapar Institute of Engineering & Technology, (Deemed University), Patiala 147004, Punjab, India; Department of Mathematics, Graphics Era Deemed to be University, Dehradun 248002, Uttarakhand, India; Applied Science Research Center, Applied Science Private University, Amman 11931, Jordan; College of Technical Engineering, The Islamic University, Najaf, Iraq
Seifedine Kadry: Department of Applied Data Science, Noroff University College, 4612 Kristiansand, Norway; Artificial Intelligence Research Center (AIRC), Ajman University, Ajman 346, United Arab Emirates; Department of Electrical and Computer Engineering, Lebanese American University, Byblos 1102-2801, Lebanon
Jungeun Kim: Department of Software, Kongju National University, Cheonan 31080, South Korea; Corresponding authors.

Journal volume & issue: Vol. 77
pp. 149 – 164

Abstract

Read online

The multiple-attribute decision-making (MADM) problem is resolved through the q-rung complex diophantine neutrosophic normal set (q-rung CDNNS). An important way to express uncertain information is using q-rung orthopair fuzzy sets (q-ROFs). Yager introduced q-ROFs as a generalization of intuitionistic fuzzy sets in which the sum of membership and non-membership degrees is one. In addition, they have superiority over intuitionistic fuzzy sets and Pythagorean fuzzy sets. Complex diophantine fuzzy sets are generalizations of neutrosophic and diophantine fuzzy sets, respectively. Several aggregating operations (AOs) are discussed here, as well as their respective interpretations. The paper discusses q-rung CDNN weighted averaging (q-rung CDNNWA), q-rung CDNN weighted geometric (q-rung CDNNWG), q-rung generalized CDNN weighted averaging (q-rung GCDNNWA) and q-rung generalized CDNN weighted geometric (q-rung GCDNNWG). We will review several of these sets with important properties in greater detail using algebraic operations. Additionally, we develop an algorithm for solving MADM problems using these operators. Several real-world examples illustrate how enhanced score values can be applied. Sensor robots are said to rely heavily on computer science and machine tool technology. Four factors are to evaluate when determining a sensor robotics system’s quality: resolution, sensitivity, error, and environment. It is possible to compare expert opinions with the criteria and determine the best alternative. Therefore, the value of q significantly impacts the model’s results. To prove that the models considered are valid and useful, we will compare the current and proposed models. Thus, q has a significant impact on the results of the model.

Published in Alexandria Engineering Journal

ISSN: 1110-0168 (Print); 2090-2670 (Online)
Publisher: Elsevier
Country of publisher: Egypt
LCC subjects: Technology: Engineering (General). Civil engineering (General)
Website: http://www.journals.elsevier.com/alexandria-engineering-journal/

About the journal

Abstract

Keywords