An integrating spherical fuzzy AHP and axiomatic design approach and its application in human–machine interface design evaluation

Liu, Qinghua; Chen, Jiadui; Yang, Kai; Liu, Dan; He, Ling; Qin, Qing; Wang, Yuqing

doi:10.1016/j.engappai.2023.106746

Cited by 13 publications

(5 citation statements)

References 51 publications

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“…In practical evaluation applications, it is often challenging to intuitively display the merits and demerits of different design schemes using these seven metrics directly. In the research by Li et al, the weights of the metrics were derived from scores obtained through user questionnaires and interviews [11], a method which inherently bears a level of ambiguity [37]. In contrast, this study fits the seven metrics into a single comprehensive index using both multiple regression and the entropy weight method, approaches that offer more objectivity and statistical significance.…”

Section: Discussionmentioning

confidence: 99%

“…It allows for intuitive comparisons of different layout designs or understanding the effectiveness of layout improvements. Embedding evaluation throughout the design cycle, rather than as an afterthought, can significantly reduce subsequent testing costs, enhancing design efficiency and reliability [37]. Designers can innovate and respond to user needs more effectively, meeting the complexity and dynamism of interface design and evaluation, and promoting a shift towards more iterative, agile, and user-centered methodologies.…”

Section: Discussionmentioning

confidence: 99%

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Utilizing Multiple Regression Analysis and Entropy Method for Automated Aesthetic Evaluation of Interface Layouts

Wang,

Tong,

Song

et al. 2024

Symmetry

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Aesthetic evaluation of increasingly complex and personalized human–computer interaction interfaces serves as a critical bridge between humans and machines, fundamentally enhancing various interaction factors. This study addresses the challenges in aesthetic evaluation by adjusting existing methodologies to incorporate seven aesthetic metrics: density, symmetry, balance, proportionality, uniformity, simplicity, and sequence. These metrics were effectively integrated into a composite evaluation metric through both multiple regression analysis and entropy methods, with the efficacy of both fitting methods validated. Leveraging automatic segmentation and recognition technology for interface screenshots, this research enables rapid, automated acquisition of evaluations for the seven metrics and the composite index, leading to the development of a prototype system for interface layout aesthetic assessment. Aimed at reducing the time, manpower, and resources required for interface evaluation, this study enhances the universality, compatibility, and flexibility of layout assessments. It promotes integration at any stage of the design process, significantly benefiting lightweight rapid evaluation and iterative design cycles, thereby advancing the field of interface aesthetic evaluation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Utilizing Multiple Regression Analysis and Entropy Method for Automated Aesthetic Evaluation of Interface Layouts

Wang,

Tong,

Song

et al. 2024

Symmetry

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show abstract

“…The fuzzy AHP treats the evaluation objects as systems and then makes decisions based on the decomposition, comparison, comparative judgments, and synthesis of priorities [68]. The fuzzy AHP has been applied to a diverse range of fields, including, for example, the airline industry [69], large data matrices [70], environmental decision support systems [71], human-machine interface design evaluation [72], solar panel selection [73], stationary hydrogen storage [74], and stock portfolio selection [75].…”

Section: Fuzzy Ahpmentioning

confidence: 99%

Performance Evaluation of Carbon-Neutral Cities Based on Fuzzy AHP and HFS-VIKOR

Yang,

Li,

Huang

et al. 2024

Systems

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Climate change threatens human survival and development. Cities, as the main gathering places for human production and life, serve as the focal points for the implementation of the policies related to energy efficiency, energy transition, and environmental protection. This study constructs an index system for the evaluation of carbon-neutral cities from the perspectives of carbon sources and carbon sinks. The system includes thirteen indicators under six dimensions. It combines objective and subjective data (i.e., statistical data and expert evaluations) by integrating two approaches: the fuzzy analytic hierarchy process (fuzzy AHP) and vise kriterijumska optimizacija i kompromisno resenje with hesitant fuzzy sets (HFS-VIKOR). We verify the efficacy of the proposed approach through a case study of thirteen low-carbon pilot cities in China. The results indicate that among these cities, Shenzhen performs the best, followed by Guangzhou and Hangzhou, while Kunming, Baoding, and Tianjin show poor performance in terms of carbon neutrality. Kunming and Baoding exhibit shortcomings mainly in carbon sources, while Tianjin faces deficiencies in both carbon sources and carbon sinks. Sensitivity analysis and comparative analysis show the availability and effectiveness of the proposed method. The proposed radar chart further highlights the improvement directions for each city to achieve carbon neutrality.

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“…With equation ( 16), Consistency Ratio (CR) is computed. CR value of less than 0.1 indicates that the matrix is consistent [19].…”

Section: Spherical Fuzzy Ahpmentioning

confidence: 99%

Generating a Novel Artificial Intelligence-Based Decision-Making Model for Determining Priority Strategies for Improving Community Health

Gökalp,

Dinçer,

Eti

et al. 2024

J. Oper. Intell.

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Improving public health affects society in many ways. Improved public health can lead to a longer and healthier life. Policymakers cannot address all these criteria at the same time due to both time and budget constraints. Therefore, priority strategies need to be formulated by determining the importance weights of these criteria. Accordingly, the purpose of this study is to evaluate the significance of the strategies determined for the development of public health. For this purpose, analytic hierarchy process (AHP) method is considered to define the importance of the strategies. Within this scope, artificial intelligence methodology is integrated with the Spherical fuzzy sets. In this framework, the decision matrix of AHP is obtained by artificial intelligence system. Next, the steps of Spherical fuzzy sets are implemented. The main contribution of this manuscript is considering artificial intelligence methodology to create decision matrix. Hence, the weights of the experts can be computed based on their qualifications. By the help of this condition, it may be possible for the opinion of experts with better qualifications to be taken into consideration with a higher coefficient. This situation has a positive contribution to increase the accuracy of the findings. The findings indicate that accessibility is the most important strategy to improve public health. Similarly, vaccination and preventive services also play a significant role for this situation.

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An integrating spherical fuzzy AHP and axiomatic design approach and its application in human–machine interface design evaluation

Cited by 13 publications

References 51 publications

Utilizing Multiple Regression Analysis and Entropy Method for Automated Aesthetic Evaluation of Interface Layouts

Utilizing Multiple Regression Analysis and Entropy Method for Automated Aesthetic Evaluation of Interface Layouts

Performance Evaluation of Carbon-Neutral Cities Based on Fuzzy AHP and HFS-VIKOR

Generating a Novel Artificial Intelligence-Based Decision-Making Model for Determining Priority Strategies for Improving Community Health

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