Results 51 to 60 of about 1,181 (174)
Energy of Pythagorean Fuzzy Graphs with Applications
Pythagorean fuzzy sets (PFSs), an extension of intuitionistic fuzzy sets (IFSs), inherit the duality property of IFSs and have a more powerful ability than IFSs to model the obscurity in practical decision-making problems.
Muhammad Akram, Sumera Naz
doaj +1 more source
This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa +3 more
wiley +1 more source
An Application of the Pythagorean Fuzzy Sets in the Fault Diagnosis
Abstract In this paper, a comprehensive review and critical analyses of methods based on the ordinary fuzzy set, Atanassov’s intuitionistic fuzzy set, and its extensions have been conducted to show their limitations and defects. Then, a novel similarity measure based on the generalized score function has been introduced that incorporates
openaire +1 more source
Normal fuzzy sets and Pythagorean cubic fuzzy sets are the best means to deal with fuzziness. Combining both of these structures in our current work, we establish the idea of Pythagorean cubic normal fuzzy set.
Muneeza +3 more
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As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an important role in handling the uncertainty under the uncertain environments.
Qianli Zhou, Hongming Mo, Yong Deng
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ABSTRACT Nonlinear control systems are an integral part of complex engineering systems. The main difference from linear systems is their ability to adapt to changes and unpredictable conditions. These systems exhibit behaviors that cannot be predicted by simple linear equations, making them essential for applications requiring precise control over a ...
Cinthia Peraza +3 more
wiley +1 more source
Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri +2 more
wiley +1 more source
To improve the spare parts support capacity of civil aircrafts and given the actual lack of evaluation methods at present, the evaluation problem of spare parts support capacity was solved in this study by proposing a multi-attribute decision method ...
Liang You +4 more
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Abstract This paper aims to encounter the scholarly demand for comprehensive identification and investigation of the factors that highlight the sense of the “workplace of the future.” Besides, this study sheds in‐depth qualitative and quantitative insights into analysing such drivers in international entrepreneurial small and medium enterprises of ...
Hannan Amoozad Mahdiraji +3 more
wiley +1 more source
ABSTRACT We propose a dynamic optimization framework for Medical Oxygen Supply Chains (MOSCs) operating under concurrent disasters. The framework aims to minimize both the total response and transportation time, as well as the total operational cost. These goals are subject to constraints involving evacuation, capacity, maintenance, and inventory.
Saptadeep Biswas +6 more
wiley +1 more source

