AI Article Synopsis
- The concept design evaluation phase is critical for new product launches, but current methods rely heavily on subjective judgment from decision makers, leading to ambiguity.
- A new decision model is proposed that incorporates Pythagorean fuzzy sets within a big data framework to improve the evaluation process.
- This model uses big data for analysis, integrates Pythagorean fuzzy sets with established decision-making techniques (AHP and TOPSIS), and has been validated through practical and digital case studies, demonstrating its effectiveness and reliability.
Article Abstract
The concept design evaluation phase of the new product launch is extremely important. However, current evaluation information relies mainly on the a priori knowledge of decision makers and is subjective and ambiguous. For this reason, a conceptual design solution decision model based on Pythagorean fuzzy sets in a big data environment is proposed. Firstly, we use the ability of big data to mine and analyze information to construct a new standard for product concept design evaluation in the big data environment. Secondly, the Pythagorean fuzzy set (PFS), Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are integrated into a decision model. AHP, extended by the Pythagorean fuzzy set, is used to determine the weights of new conceptual design criteria in a big data environment. The Pythagorean fuzzy TOPSIS is used to prioritize alternative conceptual design solutions. The feasibility of the approach is proven with a practical case, the generalizability of the method is confirmed with two descriptive digital cases, and the reliability, validity, and superiority of the process are demonstrated with sensitivity analysis, comparative analysis, and computational complexity analysis.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794834 | PMC |
| http://dx.doi.org/10.1038/s41598-022-26873-w | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A novel Complex q-rung orthopair fuzzy Yager aggregation operators and their applications in environmental engineering.
Heliyon
January 2025
Department of Mathematics and Statistics, International Islamic University Islamabad, Pakistan.
Improving human health and comfort in buildings requires efficient temperature regulation. Temperature control system has a significant contribution in minimizing the impact of climate change. Temperature control system is used in industry to control temperature.
View Article and Find Full Text PDFTOPSIS prefabricated building construction evaluation based on interval-valued Pythagorean fuzzy numbers based on prospect theory.
Sci Rep
January 2025
Institute of Architectural Engineering, Shanghai Zhongqiao Vocational and Technical University, Shanghai, 201514, China.
Prefabricated buildings have a series of advantages such as high efficiency, energy savings, and environmental protection, and are being strongly promoted by the Chinese government. However, due to the late start of prefabricated buildings in China, the installation process of prefabricated components is relatively complex, leading to difficulties in quality and safety control. A novel evaluation methodology integrating the technique for order preference by similarity to ideal solution (TOPSIS) with prospect theory and interval-valued Pythagorean fuzzy numbers (IVPFNs) is proposed.
View Article and Find Full Text PDFGlobal perspectives on environmental policy innovations: Driving green tourism and consumer behavior in circular economy.
J Environ Manage
February 2025
School of Humanities and Social Science, Yancheng Institute of Technology, Yancheng, Jiangsu, 224007, China. Electronic address:
The tourism industry plays a pivotal role in both economic growth and environmental stewardship, making it essential to adopt practices that ensure long-term sustainability. This research aims at relating to the global concern of sustainable management in the tourism industry which is significant in eradicating the effects of environmental degradation as well as promoting economic development. The research problem focuses on exploring sustainable solutions for encouraging green tourism and implementing circular economy concepts.
View Article and Find Full Text PDFPrecision measurement for effective pollution mitigation by evaluating air quality monitoring systems in linguistic Pythagorean fuzzy dombi environment.
Sci Rep
December 2024
Faculty of Science and Technology, University of the Faroe Islands, Vestara Bryggja 15, Torshavn, Faroe Islands, FO 100, Denmark.
Air quality is a major concern for human health, with pollutants linked to respiratory problems and chronic illnesses. Air quality monitoring systems are essential for measuring and tracking pollutants in indoor and outdoor environments. In the various disciplines of fuzzy environments, the aggregation operators are indispensable components of the decision-making process and possess a significant capacity to manage unpredictable and ambiguous data.
View Article and Find Full Text PDFAn instructional emperor pigeon optimization (IEPO) based DeepEnrollNet for university student enrolment prediction and retention recommendation.
Sci Rep
December 2024
Department of Information Systems, College of Computer and Information Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia.
Academic institutions face increasing challenges in predicting student enrollment and managing retention. A comprehensive strategy is required to track student progress, predict future course demand, and prevent student churn across various disciplines. Institutions need an effective method to predict student enrollment while addressing potential churn.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!