Results 161 to 170 of about 6,311,396 (187)
Some of the next articles are maybe not open access.

A robust framework for the decision-making based on single-valued neutrosophic fuzzy soft expert setting

International Journal of Neutrosophic Science
A soft expert set is widely used as a tool to solve and model the problems appearing in computer science and operations research. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes. On the other hand, the idea of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) are imported
Y. Al-Qudah
openaire   +2 more sources

Group decision-making algorithm based on AOs settings for single-valued neutrosophic fuzzy soft expert environment

International Journal of Neutrosophic Science
The incorporation of expert opinions and handling of data uncertainty are addressed by Al-Alkhazaleh through the introduction of a soft expert set. This extension of the soft set framework aims to enhance the analysis and decision-making processes by incorporating expert knowledge.
Faisal Al Al-Sharqi   +6 more
openaire   +2 more sources

Effective neutrosophic soft expert set (ENSES)

AIP Conference Proceedings
Sumyyah Al-Hijjawi   +2 more
openaire   +2 more sources

Introduction to Interval-Valued Neutrosophic Hyper-Soft Expert Set

Springer Proceedings in Mathematics and Statistics
J. Jayasudha, S. Raghavi
exaly   +2 more sources

Orthogonal distance and similarity for single-valued neutrosophic fuzzy soft expert environment and its application in decision-making

International journal of neutrosophic science
A soft expert set(SES) is a concept that combines elements of soft sets and expert systems. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes.
A. Admin   +6 more
semanticscholar   +1 more source

Time Factor’s Impact On Fuzzy Soft Expert Sets

International journal of neutrosophic science
In this study, I introduce time-fuzzy soft expert set (T-FSES) as an extension of fuzzy soft set. I will also define and investigate the features of its main operations (complement, union intersection, AND and OR).
Ayman Ayman.A
semanticscholar   +1 more source

Time Fuzzy Parameterized Fuzzy Soft Expert Sets

International journal of neutrosophic science
Finally In this study, we define parameterized time fuzzy soft expert set (PTFSES) as an extension of fuzzy soft set. Additionally, we will clarify and investigate the characteristics of its primary operation (complement, union intersection, ”AND” and ...
Anwar Anwar, A. Hazaymeh
semanticscholar   +1 more source

Applied Statistics with Single-Valued Neutrosophic Fuzzy Soft Expert Sets for Market Trend Forecasting Model

International Journal of Neutrosophic Science
Applied statistics has been instrumental in predicting behaviours and future market trends. In the field of financial time series analysis, the incorporation of deep learning (DL) methods and applied statistics has made a significant contribution to the prediction model.
Abdelgalal Abdelgalal   +5 more
openaire   +1 more source

COPRAS Neutrosophic Approach with Big Data Analytics for Enhancing Multi-Dimensional Customer Churn Prediction on Corporate Performance Assessment

International journal of neutrosophic science
A neutrosophic set (NS) is a new computing technology that accesses ambiguous data through three memberships. A soft expert set (SES) is based on the concept of a “soft set” with an expert system. Now, this technique has been applied in different domains
A. Adam
semanticscholar   +1 more source

Generalized Pythagorean Fuzzy Soft Expert Set (GPFSES) and its Applications in MCDM

International Workshop on Intelligent Networking and Collaborative Systems
In this paper, we commence by presenting a novel notion termed Generalized Pythagorean Fuzzy Soft Expert Set(GPFSES). This innovative concept integrates pythagorean fuzzy sets with soft expert sets.
M. Maheshpraba, M. Kameswari
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy