Development of hamming and hausdorff distance metrics for cubic intuitionistic fuzzy hypersoft set in cement storage quality control: Development and evaluation

Quality control is paramount in product manufacturing as it ensures consistent production to meet customer expectations, regulatory requirements and maintain a company’s reputation and profitability. Distance measures within fuzzy sets serve as powerful tools for quality control, allowing for data c...

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Bibliographic Details
Published in:PloS one 2023-09, Vol.18 (9), p.e0291817-e0291817
Main Authors: Saeed, Muhammad, Saeed, Muhammad Haris, Khalid, Misbah, Mekawy, Ibrahim
Format: Article
Language:English
Subjects:
Ambiguity
Biology and Life Sciences
Control systems
Data analysis
Data comparison
Decision analysis
Decision making
Earth Sciences
Economics
Engineering and Technology
Evaluation
Fuzzy algorithms
Fuzzy logic
Fuzzy sets
Fuzzy systems
Industrial applications
Management
Medicine and Health Sciences
Metric space
Optimization
Outliers (statistics)
Pattern recognition
Physical Sciences
Profitability
Quality control
Quality management
Risk analysis
Set theory
Similarity measures
Social Sciences
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Summary:Quality control is paramount in product manufacturing as it ensures consistent production to meet customer expectations, regulatory requirements and maintain a company’s reputation and profitability. Distance measures within fuzzy sets serve as powerful tools for quality control, allowing for data comparison and identification of potential defects or outliers within a system. This study aims to develop a hybrid concept by combining a Cubic Intuitionistic Fuzzy Set (CIFS) with Soft Set (SS) and extending it to Cubic Intuitionistic Fuzzy Hypersoft Set (CIFHSS). CIFHSS enables handling multiple distinct attributes at the sub-attribute level within a cubic set environment. The concept includes operations like internal, partial internal, external, complement, direct sum, and product. Additionally, six distance metrics are defined within CIFHSS and applied to establish a quality control management system for industrial applications. The versatility of CIFHSS in quality control management stems from its ability to capture and model uncertainty, vagueness, and imprecision in data. This makes it an effective tool for decision-making, risk analysis, and process optimization across a wide range of industrial applications.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0291817