Application of Knowledge Engineering in Sports Protective Gear Design: A Study on Innovative Methods Based on Extension Theory

Journal Title: International Journal of Knowledge and Innovation Studies - Year 2023, Vol 1, Issue 2

Abstract

This study, rooted in extension theory and the principles of knowledge engineering, explores and formulates a novel method for generating sports protective gear designs. Given the critical role of sports protective gear in safeguarding athletes from injuries, coupled with escalating demands for product quality, the aim is to uncover a more effective approach to innovative design. This method involves formalizing modeling of various elements in the design process and representing this information in the elemental form of knowledge engineering. Through the related analysis, divergent analysis, as well as permutation and conduction transformations of these elements, innovative design schemes for sports protective gear are generated. This process not only optimizes design schemes in depth but also ventures into new design methods and processes. The objective is to offer a novel perspective in integrating extension theory and knowledge engineering in the design of sports protective gear, aspiring to provide more effective strategies to enhance existing design workflows. The goal of this new design method is to produce sports protective gear that is both practical and innovative, thereby enhancing the safety and enjoyment of athletes.

Authors and Affiliations

Chenglong Xu, Zdravko Nunić, Tichun Wang

Keywords

Related Articles

Enhanced Decision-Making with Advanced Algebraic Techniques in Complex Fermatean Fuzzy Sets under Confidence Levels

This study introduces novel algebraic techniques within the framework of complex Fermatean fuzzy sets (CFFSs) by incorporating confidence levels, presenting a suite of operators tailored for advanced decision-making. Spe...

Enhancement of the Defining Interrelationships Between Ranked Criteria II Method Using Interval Grey Numbers for Application in the Grey-Rough MCDM Model

Multi-Criteria Decision-Making (MCDM) represents a critical area of research, particularly in artificial intelligence, through the modeling of real-world decision-making scenarios. Numerous methods have been developed to...

Parametric Similarity Measurement of T-Spherical Fuzzy Sets for Enhanced Decision-Making

The T-spherical fuzzy set (T-SFS), an advancement over the spherical fuzzy set (SFS), offers a refined approach for addressing contradictions and ambiguities in data. In this context, similarity measures (SMs) serve as c...

Utilizing Edge Cloud Computing and Deep Learning for Enhanced Risk Assessment in China’s International Trade and Investment

Amidst a transformative economic milieu in China, domestic enterprises are venturing into the global market, exposing them to intensified perils in international trade and investment. This research elucidates the interna...

Advanced Estimation of Orange Tree Age Using Fuzzy Inference and Linear Regression Models

The accurate estimation of the age of orange trees is a critical task in orchard management, providing valuable insights into tree growth, yield prediction, and the implementation of optimal agricultural practices. Tradi...

Download PDF file
  • EP ID EP732604
  • DOI https://doi.org/10.56578/ijkis010201
  • Views 47
  • Downloads 0

How To Cite

Chenglong Xu, Zdravko Nunić, Tichun Wang (2023). Application of Knowledge Engineering in Sports Protective Gear Design: A Study on Innovative Methods Based on Extension Theory. International Journal of Knowledge and Innovation Studies, 1(2), -. https://europub.co.uk/articles/-A-732604