Results 31 to 40 of about 12,051 (200)
Digitalization has addressed all parts of organizations together with supply chain management. Innovations like installed RFID, GPS, and sensors have assisted organizations with changing their current conventional supply chain framework into more spry ...
Tahir Mahmood +2 more
doaj +1 more source
A Novel Algebraic Structure of (α,β)-Complex Fuzzy Subgroups
A complex fuzzy set is a vigorous framework to characterize novel machine learning algorithms. This set is more suitable and flexible compared to fuzzy sets, intuitionistic fuzzy sets, and bipolar fuzzy sets.
Hanan Alolaiyan +4 more
doaj +1 more source
<abstract> <p>Aczel-Alsina t-norm and t-conorm are great substitutes for sum and product and recently various scholars developed notions based on the Aczel-Alsina t-norm and t-conorm. The theory of bipolar complex fuzzy set that deals with ambiguous and complex data that contains positive and negative aspects along with a second dimension.
Tahir Mahmood +3 more
openaire +2 more sources
Connectionist Inference Models [PDF]
The performance of symbolic inference tasks has long been a challenge to connectionists. In this paper, we present an extended survey of this area. Existing connectionist inference systems are reviewed, with particular reference to how they perform ...
Browne, Antony, Sun, Ron
core +3 more sources
One of the most effective and impressive approaches to tackle uncertainty is the theory of bipolar complex fuzzy set (BCFS). The theory of BCFS modified the theory of fuzzy set (FS), bipolar FS (BFS), and complex FS.
Tahir Mahmood +2 more
doaj +1 more source
Towards a transparent deliberation protocol inspired from supply chain collaborative planning [PDF]
International audienceIn this paper we propose a new deliberation process based on argumentation and bipolar decision making in a context of agreed common knowledge and priorities together with private preferences.
Dupin De Saint Cyr - Bannay, Florence +1 more
core +2 more sources
A New Approach to Model Machine Learning by Using Complex Bipolar Intuitionistic Fuzzy Information
Many industries are developing robust models, capable of analyzing huge and complex data by using machine learning (ML) while delivering faster and more accurate results on vast scales.
Naeem Jan +5 more
doaj +1 more source
Análisis de armónicos variando en el tiempo en sistemas eléctricos de potencia con parques eólicos, a través de la teoría de la posibilidad [PDF]
This paper focuses on the analysis of the connection of wind farms to the electric power system and their impact on the harmonic load-flow. A possibilistic harmonic load-flow methodology, previously developed by the authors, allows for modeling ...
Ratta, Giuseppe +3 more
core +2 more sources
Bipolar fuzzy sets (BPFs) provide a suitable framework for knowledge representation if some data contains imprecise and ambiguous information. In this manuscript, the lower and upper bounds of the Seidel Laplacian energy of a bipolar fuzzy graph were ...
Sivaranjani Krishnaraj +3 more
doaj +1 more source
Peptide‐Induced Ferroelectricity in Charge‐Transfer Supramolecular Materials
Bio‐inspired supramolecular charge‐transfer amphiphiles self‐assemble into nanoribbons in water, where peptide chirality‐induced symmetry breaking generates robust ferroelectricity across multiple systems. These water‐processable organic ferroelectrics also enhance neuronal outgrowth and electrophysiological maturity, offering a versatile strategy for ...
James V. Passarelli +15 more
wiley +1 more source

