Results 51 to 60 of about 2,499 (281)

Construction of fuzzy X-S control charts with an unbiased estimation of standard deviation for a triangular fuzzy random variable [PDF]

, 2015
Statistical process control and Shewhart control charts are used by organizations to aid in process understanding, assessing process stability, and identifying changes to improve the quality of the product.
S., Mojtaba Zabihinpour, Mohd Ariffin, Mohd Khairol Anuar, Ahmad, Siti Azfanizam, Tang, Sai Hong   +3 more
core   +1 more source

Beyond d‐Band Catalysis: A Critical Review and Descriptor Framework for Rare‐Earth Engineering in Lithium–Sulfur Batteries

Advanced Science, EarlyView.
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang, Shihzad Shakil, Guozhi Wu, Jiarui Huang, Hanhui Lei, Terence Xiaoteng Liu   +5 more
wiley   +1 more source

FUZZY LOGIC TEST IN DRAWING AND CALCULATING DEFECTIVE RATIO CONTROL CHARTS IN INDUSTRIES COMPANY

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
For businesses to remain competitive in the market today, the quality of their products must either be improved upon or maintained. Therefore, creating a fresh strategy that might make more use of data from the production process has turned into a ...
Salman Hussien OMRAN, Salam Waley Shneen, Batool Ibrahim Jameel, Omar Hashim Hassoon, Fatimah Ridha Abbood   +4 more
doaj   +1 more source

Sensitizing Rules For Fuzzy Control Charts

, 2013
Quality control charts indicate out of control conditions if any nonrandom pattern of the points is observed or any point is plotted beyond the control limits. Nonrandom patterns of Shewhart control charts are tested with sensitizing rules. When the processes are defined with fuzzy set theory, traditional sensitizing rules are insufficient for defining
N. Pekin Alakoç, A. Apaydın
openaire   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Performance Analysis and Computational Interface for X – R Intuitionistic Fuzzy Control Chart

IEEE Access
Quality control, particularly through the use of control charts, has become essential in industry to ensure that processes free from special causes of variability.
Amanda Dos Santos Mendes, Tulio S. Almeida, Marcela A. G. Machado, Paloma Maria Silva Rocha Rizol   +3 more
doaj   +1 more source

Theoretical Structure of Circular Intuitionistic Fuzzy C Control Charts

International Conference on Intelligent and Fuzzy Systems (INFUS) -- JUL 16-18, 2024 -- Istanbul Tech Univ, Canakkale, TURKEYThe fuzzy control charts are available tools for monitoring and evaluating the process, if the process includes vagueness.
Ince, Nihal, Yazicioglu, Asiye Ozbek, Atalik, Gultekin, Gokkus, Zeynep, Senturk, Sevil   +4 more
core   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Modeling attribute control charts by interval type-2 fuzzy sets

, 2018
Conference of the European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT) -- SEP 11-15, 2017 -- Warsaw, POLANDWOS: 000437142800014Fuzzy attribute control charts, where data are classified into conforming/nonconforming product units, are used to monitor
Erginel, Nihal, Yıldız, Gülay, Nihal Erginel, Şentürk, Sevil, Gülay Yıldız, Sevil Şentürk   +5 more
core   +1 more source

Fuzzy mean and range control charts for monitoring fuzzy quality characteristics: a case study in food industries using chicken nugget [PDF]

, 2014
Organizations must improve or at least maintain the quality of their products to be competitive in today's market. Thus, developing a new approach which could utilize more information from the production process has become an inevitable quality ...
Hassani, Omid Boyer, Jahromi, Seyed Mojtaba Zabihinpour, Mohd Ariffin, Mohd Khairol Anuar, Ahmad, Siti Azfanizam, Tang, Sai Hong   +4 more
core   +1 more source