Results 11 to 20 of about 42,855 (117)
Artificial neural network is revolutionizing business and everyday life, bringing us to the next level in artificial intelligence. It has a unique ability to extract meaning from complex data to find patterns and detect trends that are too convoluted for
Jeonghwan Gwak +3 more
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An optimized multi-attribute decision-making approach to construction supply chain management by using complex picture fuzzy soft set [PDF]
Supplier selection is a critical decision-making process for any organization, as it directly impacts the quality, cost, and reliability of its products and services.
Ali Asghar +3 more
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Bipolar Complex Fuzzy Subgroups
In this study, firstly, we interpret the level set, support, kernel for bipolar complex fuzzy (BCF) set, bipolar complex characteristic function, and BCF point.
Xiaopeng Yang +2 more
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Research Progress of Complex Network Modeling Methods Based on Uncertainty Theory
A complex network in reality contains a large amount of information, but some information cannot be obtained accurately or is missing due to various reasons.
Jing Wang +5 more
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Complex Cubic Fuzzy Aggregation Operators With Applications in Group Decision-Making
Cubic set and complex fuzzy set are two useful tools which have been used successfully to deal with vagueness and uncertainties. In this paper, A new hybrid model is first proposed by combining cubic set and complex fuzzy set, which is called complex ...
Xiaoqiang Zhou +4 more
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Navigating Economic and Agricultural Realms with Interval-Valued Complex Neutrosophic Fuzzy Sets [PDF]
This article introduces the concept of the interval-valued complex neutrosophic fuzzy set, which extends traditional neutrosophic sets to address challenges like uncertainty, inconsistency, and indeterminate information.
Velan Kalaiyarasan , Krishnan Muthunagai
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Complex Fermatean fuzzy extended TOPSIS method and its applications in decision making
The fuzzy set has its own limitations due to the membership function only. The fuzzy set does not describe the negative aspects of an object. The Fermatean fuzzy set covers the negative aspects of an object.
Muhammad Zaman +4 more
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A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment [PDF]
In scenarios containing complex or high-dimensional data, in which conventional distance measures might not be able to accurately portray the subtleties of information interactions, a complex picture fuzzy soft distance measure is crucial.
Asghar Ali +2 more
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Decision-making problems are often characterized by complexity and uncertainty, presenting significant challenges for individuals or organizations. Aczel Alsina t-norm (TN) and t-conorm (TCN) are more flexible than other TN and TCN due to their variable ...
Li Chen +4 more
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Complex Multi-Fuzzy Soft Set: Its Entropy and Similarity Measure
We develop a novel mathematical tool known as complex multi-fuzzy soft set (CMFSS) which has the ability to handle uncertainties, imprecision, and vagueness of information that are inherent in the data by considering the amplitude and phase terms of the ...
Yousef Al-Qudah, Nasruddin Hassan
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