Design Quality Evaluation Research Articles

Enhanced Cross-Entropy Technique for Triangular Fuzzy Neutrosophic Multiple-Attribute Decision-Making and Applications to Quality Evaluation of Urban-Park Environmental Design

The evaluation of urban park environmental design quality is essential for ensuring that parks meet community needs and environmental sustainability. By comprehensively considering indicators such as functionality, aesthetics, sustainability, and user experience, this evaluation helps designers optimize spatial layouts and enhance the efficiency and aesthetic value of parks. Additionally, good environmental design promotes ecological protection, improves the quality of life for residents, and adds more green spaces to the city, making parks an integral part of daily urban life. The evaluation of urban park environmental design quality is framed as a multiple-attribute decision-making (MADM) problem. This study introduces the triangular fuzzy neutrosophic number cross-entropy (TFNN-CE) method, which integrates traditional cross-entropy with triangular fuzzy neutrosophic sets (TFNSs). Subsequently, the TFNN-CE technique for MADM is established. A numerical example illustrating the evaluation of urban park environmental design quality is provided, alongside several comparative analyses to highlight the advantages of the proposed approach. The key contributions of this research are as follows: (1) the TFNN-CE technique is introduced through the integration of cross-entropy and TFNSs; (2) the TFNN-CE technique is formulated to address MADM problems using TFNSs; (3) an empirical application for assessing urban park environmental design quality is presented to validate the proposed methodology; (4) comparative studies are conducted to substantiate the rationality of the TFNN-CE technique.

Optimized multiple-attribute group decision-making in uncertainty employing TODIM and EDAS technique and application to product styling design quality evaluation

With the improvement of the public’s aesthetic level, product appearance has become an important influencing factor for consumers to make purchasing decisions. Product styling design is based on this market demand, combining the aesthetic and functional aspects of the product to create a personalized product appearance, in order to better attract consumers, improve the competitiveness and added value of the product. Usually, product styling design involves multiple elements such as product form, color, proportion, etc. The quality evaluation of product styling design is a MAGDM problems. Recently, the TODIM and EDAS technique has been employed to manage MAGDM issues. The interval-valued Pythagorean fuzzy sets (IVPFSs) are employed as a tool for characterizing uncertain information during the quality evaluation of product styling design. In this paper, the interval-valued Pythagorean fuzzy TODIM-EDAS (IVPF-TODIM-EDAS) technique is construct to manage the MAGDM under IVPFSs. Finally, a numerical case study for quality evaluation of product styling design is employed to validate the proposed technique. The main contribution of this paper is managed: (1) the TODIM and EDAS technique was extended to IVPFSs; (2) Entropy technique is employed to manage the weight values under IVPFSs. (3) the IVPF-TODIM-EDAS technique is founded to manage the MAGDM under IVPFSs; (4) Algorithm analysis for quality evaluation of product styling design and comparison analysis are constructed based on one numerical example to verify the feasibility and effectiveness of the IVPF-TODIM-EDAS technique.

Modified MABAC for MCGDM with interval-valued neutrosophic sets and application to design quality evaluation of digital cultural and creative products

With the development of digital creative industry and the use of more emerging digital technologies, the forms of digital cultural and creative design products are also increasingly diversified. Unlike traditional cultural and creative design products, digital cultural and creative design products are no longer limited to physical products, but appear more in the field of exhibition, virtual reality and product visualization. At the initial stage of the combination of digital information technology and cultural and creative content, digital cultural and creative design products, unlike ordinary cultural and creative design products, opened a new vision for users. The design quality evaluation of digital cultural and creative design products is viewed as a multi-criteria group decision-making (MCGDM). The single-value neutrosophic sets (SVNSs) concept and its interval-valued version (Interval-valued neutrosophic sets, IVNSs) are within the recent rapid developments for managing the uncertain representation problem in MCGDM. In SVNSs, decision makers (DMs) could portray membership, non-membership and hesitancy. IVNSs expands this useful feature through portraying intervals to these three information decision degrees. In this manner, the uncertainty, ambiguity and vagueness hidden in human judgements could be quantified more efficiently. IVNSs have been widely employed and researched in MCGDM. The main purpose of this paper is to proposed the Interval-valued neutrosophic number MABAC (IVNN-MABAC) technique based on prospect theory (PT) to address the MCGDM. Eventually, an example for design quality evaluation of digital cultural and creative design products and some comparative analysis was employed to demonstrate the superiority of the designed technique.

Vocal music curriculum design and teaching quality evaluation in colleges and universities based on interactive structure model

Abstract Aiming at the current phenomenon of low teacher-student interaction in vocal music teaching, this paper combines the interaction structure model for the innovation and practice of college vocal music courses. Then, this paper uses Euclidean distance to improve the binary tree SVM multi-class classification algorithm, calculates the distance between the teaching samples of each vocal music course, classifies the samples for processing, and obtains the DBT-SVM multi-class classification algorithm. Finally, the DBT-SVM algorithm was used to establish an evaluation model for vocal course teaching quality in colleges and universities to assess the quality of vocal course teaching models. Each three-level index of teaching motivationality has an evaluation score above 80, which is a good level. The evaluation score for the pedagogical index is 89.44, which is almost excellent. The average score of the second-level index of interpersonal interaction is 74.52, which needs to be further improved. The teaching model of the college vocal music course proposed in this paper lays the foundation for the interactive transformation of vocal music teaching and provides a reference model for the improvement of the learning effect of college students’ vocal music courses.

Research on Visual Quality Evaluation Method of Tourist Highway Based on Virtual Driving

This paper studies the visual quality evaluation method along the tourist highway from the driver’s first perspective, selects five evaluation indexes from the aspects of driver’s driving reaction and physiological reaction, and establishes a “man-vehicle-road” visual quality evaluation method model of tourist highway. Through BIM + VR technology, the tourist highway scene is built for virtual driving experience and evaluation, and different landscape design schemes and dynamic effects of tourist highway are reproduced virtually. Combined with questionnaire survey and physiological data feedback, the tourist highway landscape is evaluated qualitatively and quantitatively, and a qualitative and quantitative evaluation method for the visual quality of tourist highway is put forward. It provides decision-making basis for local relevant departments to carry out landscape design quality evaluation along tourist highways, and realizes high-quality development of tourist highways.

Lagrange-enhanced GRA method for probabilistic simplified neutrosophic MADM: Yaozhou porcelain decoration design quality evaluation

Yaozhou ware is located in Huangbao Town, Tongchuan City. It began in the Song Dynasty and flourished in the Tang Dynasty. Its warm and jade like glaze color, exquisite decorative techniques, and rich and varied utensil shapes all give it a very important position in history. The traditional Yaozhou porcelain contains the ancient people’s concept of creation and their attitude towards humans and nature. Each artifact of Yaozhou porcelain contains the designer’s understanding and emotions about the world, establishing a dialogue between people and objects to form a desired lifestyle. The production method of Yaozhou porcelain that has been preserved for thousands of years shares many similarities with modern design ideas. The quality evaluation of Yaozhou porcelain decoration design is viewed as multiple-attribute decision-making (MADM). The grey relational analysis (GRA) is a useful tool to cope with the MADM issue. The probabilistic simplified Neutrosophic set (PSNSs) is easy to characterize uncertain information during the quality evaluation of Yaozhou porcelain decoration design. In this paper, in order to obtain the weight information, an optimization model is constructed to obtain a simple and exact formula which can be employed to derive the attribute weights values based on the Lagrange function and the probabilistic simplified neutrosophic (PSN) grey relational analysis (PSN-GRA) method is originated for MADM to rank the decision alternatives. Finally, a numerical example for quality evaluation of Yaozhou porcelain decoration design is used to verify the practicability of the PSN-GRA method and compares it with other methods.

A novel cross-entropy framework for pattern design quality evaluation based on interval-valued intuitionistic fuzzy multi-attribute decision making

Paper packaging is favored by manufacturers in various industries due to its advantages such as economy and environmental friendliness, and the application of paper packaging in various types of products is also becoming increasingly popular. However, with the growth of the national economy and the increasing purchasing power of the people, consumers not only have higher requirements for the functionality of products, but also have higher requirements for the visual effect of product packaging. Based on the potential consumption trend of “looking for things”, enterprises need to further strengthen the artistic design effect when using paper packaging, promoting the unity of practicality and aesthetics of paper packaging. Pattern design art, as a component of graphic design art, is mainly based on pattern modeling to convey artistic concepts and aesthetic temperament. Integrating pattern design art into the process of paper packaging design can effectively enhance the artistic value of paper packaging, thereby adding color to products. The pattern design quality evaluation is a classical multi-attribute decision making (MADM). In this paper, the MADM methodology is investigated based on cross-entropy (CE) method under interval-valued intuitionistic fuzzy sets (IVIFSs) for pattern design quality evaluation. First of all, this paper extends the CE method under the IVIFSs to propose the interval-valued intuitionistic fuzzy number cross-entropy (IVIFN-CE) method, it enlarges the application range of the CE method. Secondly, a new MADM model for pattern design quality evaluation based on IVIFN-CE algorithm is proposed. In this algorithm, attribute weight is calculated by CRITIC method which is a well-known objective method. At the end of this study, we noticed to a comparison between the proposed IVIFN-CE approach with other existing methods to verify the effectiveness of the algorithm.

A novel group decision making model based on Interval neutrosophic sets for product modeling design quality evaluation

The energy consumption of mechanical products in China is enormous, and the energy utilization rate is low, which is increasingly receiving people’s attention. Conducting product design for energy optimization is of great significance for improving energy utilization efficiency. The scheme design of a product is the key to achieving innovation in product design, and the evaluation and decision-making of the design scheme directly affect the results of the later stage of the design. Therefore, correctly evaluating and making reliable decisions on product design schemes that are oriented towards fuzzy decision optimization is an important aspect of product innovation conceptual design. The product modeling design quality evaluation is a multiple attribute group decision making (MAGDM) problems. Recently, the Combined Compromise Solution (CoCoSo) method and information entropy method has been employed to cope with MAGDM issues. The interval neutrosophic sets (INSs) are employed as a tool for portraying uncertain information during the product modeling design quality evaluation. In this paper, the CoCoSo method is designed for MAGDM under INSs. Then, the interval neutrosophic numbers CoCoSo (INN-CoCoSo) method based on the Hamming distance and Euclidean distance is built for MAGDM. The information Entropy method is employed to produce the weight information based on the Hamming distance and Euclidean distance under INNSs. Finally, a practical numerical example for product modeling design quality evaluation is supplied to show the INN-CoCoSo method. The main contributions of this paper are constructed: (1) This paper builds the novel MAGDM based on CoCoSo model under INSs; (2) The information Entropy method is employed to produce the weight information based on the Hamming distance and Euclidean distance under INNSs; (3) The new MAGDM method is proposed for product modeling design quality evaluation based on INN-CoCoSo.

Mechanical properties estimation of lime stabilized loess applied in various engineering fields

Given the wide application of lime stabilized loess in road base and subbase, subgrade, building foundations and slopes, a set of generalized and accurate mechanical estimation models of lime stabilized loess is essential for quality control. In this research, three modified models were proposed to capture the effects of lime content and compactness on the unconfined compressive strength (UCS), California bearing ratio (CBR), resilience modulus (MR), internal friction angle (φ), cohesion (c) and compression coefficient (a1-2) of lime stabilized loess at both 7-day and 28-day curing periods. Compared with the logarithmic model, the hyperbolic model can more reasonably characterize the effect of the curing period on these mechanical indices. Taking those factors together, a set of three-factor estimation models based on both 7-day and 28-day references were developed and show high reliability. Moreover, the establishment of relationships between UCS and CBR, MR, φ and c provides a shortcut for the mechanical property estimation of lime stabilized loess. Finally, based on multiple sets of UCS data sourced from numerous papers, a hyperbolic model with a wider application range was established to link normalized UCS to curing time. The proposed estimation models can be adopted for design checking and quality evaluation of lime stabilized loess applied in various engineering fields.

First Stage Evaluation of ISSuFiRs: Partners’ Financial Report Monitoring System by Islamic Financial Cooperatives (BMT) in Indonesia

Most MSMEs, especially micro-enterprises, do not have good business accounting records, making it difficult for owners/managers to measure the profitability of their companies. Internal control management has a significant influence in reducing fraud in Micro Enterprises. The more principles-based accounting rules, the shorter the delay in annual reporting disclosures. It is important to have a good financial reporting system that can be utilized by Micro Enterprises and its cooperation partners who provide and distribute funds. ISSuFiRs is a web-based application that enables Islamic Financial Cooperatives to track the business progress of their financing partners. With this application, micro businesses can disclose their business activities in these financial records in accordance with the SAK-ETAP national accounting standards. Reporting on this system includes balance sheet, profit and loss, cash flow, sources, use of ZIS funds, and comments on financial reports. This study presents a prototyping framework that enables user value perception, evaluation, and continuous improvement of ISSuFiR design quality through co-creation methods. It is hoped that a simple and effective financial reporting system, ISSuFiRs, will be useful for Micro Enterprises and Islamic Financial Cooperatives to monitor business developments. This study proposes a prototyping framework that enables the user's perception of value. The framework is expected to be implemented in industrial product service systems, evaluated and then concluded. This research is ongoing, with a new prototype being rebuilt based on the evaluation results.

Evaluating design quality and performance stability of armoured face conveyors of the mechanized longwall set of equipment for coal production

Introduction. The article considers the exploitation of armoured face conveyors (AFC) of the mechanized longwall set of equipment for coal production. Underground coal mining in Russia and neighboring countries is characterized by the development of seams with complex hypsometry and a significant number of geological faults. The article justifies the need to develop a methodology for the evaluation of AFC design quality and stability in real operating conditions. Methods of research include methodological approaches and analytical formulas for calculating the generalized functional technical, operational and average criteria of AFC quality over the service life. The AFC stability index is proposed to be calculated as the ratio of the operational performance of the conveyor for the analyzed period of time to its theoretical performance. Results. Based on the data of objective control of FFC-9 GLINIK face conveyor functioning at a OAO SUEK-Kuzbass mine, the average monthly values of AFC stability index were determined. It is proved that the performance stability index value in real conditions of AFC functioning varies widely and depends on the joint effect of a number of technical and professional-psychological factors. AFC failure statistics is analyzed. The main trends aimed at improving the quality of AFC units design are considered. Conclusions. The methodological approaches presented in the article make it possible to determine the directions for improving the armoured face conveyors of mechanized longwall set of equipment for coal mining and to identify factors that negatively affect their operational performance in real operating conditions.

Dynamic Design Quality Evaluation of Power Enterprise Digital System Based on Fuzzy Information Axiom

With the deepening of digital transformation and upgrading of power grid enterprises, the digital system evaluation method of power grid enterprises based on experts’ subjective experience has been unable to meet the management needs of modern enterprises. In this paper, a method based on fuzzy information axiom for dynamic design quality evaluation of digital system in electric power enterprises is proposed. Firstly, the electric power enterprise digital system dynamic design quality comprehensive evaluation index system is set up from three aspects, which are achievement degree of target business function, logical relation rationality, and technical economy of physical model. Secondly, the quantitative and qualitative index values are processed by using the information calculation formula of minimum information axiom and fuzzy membership function. And then best-worst method and antientropy weight method are used to form the comprehensive evaluation model. Finally, the feasibility and effectiveness of the design scheme are verified by an example of dynamic design of digital system in power enterprise.

Assessment of instantaneous cognitive load imposed by educational multimedia using electroencephalography signals.

The use of multimedia learning is increasing in modern education. On the other hand, it is crucial to design multimedia contents that impose an optimal amount of cognitive load, which leads to efficient learning. Objective assessment of instantaneous cognitive load plays a critical role in educational design quality evaluation. Electroencephalography (EEG) has been considered a potential candidate for cognitive load assessment among neurophysiological methods. In this study, we experiment to collect EEG signals during a multimedia learning task and then build a model for instantaneous cognitive load measurement. In the experiment, we designed four educational multimedia in two categories to impose different levels of cognitive load by intentionally applying/violating Mayer’s multimedia design principles. Thirty university students with homogenous English language proficiency participated in our experiment. We divided them randomly into two groups, and each watched a version of the multimedia followed by a recall test task and filling out a NASA-TLX questionnaire. EEG signals are collected during these tasks. To construct the load assessment model, at first, power spectral density (PSD) based features are extracted from EEG signals. Using the minimum redundancy - maximum relevance (MRMR) feature selection approach, the best features are selected. In this way, the selected features consist of only about 12% of the total number of features. In the next step, we propose a scoring model using a support vector machine (SVM) for instantaneous cognitive load assessment in 3s segments of multimedia. Our experiments indicate that the selected feature set can classify the instantaneous cognitive load with an accuracy of 84.5 ± 2.1%. The findings of this study indicate that EEG signals can be used as an appropriate tool for measuring the cognitive load introduced by educational videos. This can be help instructional designers to develop more effective content.

Multiplexing modulation design optimization and quality evaluation of BDS-3 PPP service signal

The Precise Point Positioning (PPP) service of BeiDou-3 Navigation Satellite System (BDS-3) is implemented on its Geostationary Earth Orbit (GEO) satellites. However, its signal design is limited by the actual power of satellite and other conditions. Furthermore, the design needs to fully consider the compatibility of different service phases. Starting from the actual state of the BDS-3 GEO satellite, this paper studies the multiplexing modulation of the BDS PPP service signal that is based on the Asymmetric Constant Envelope Binary Offset Carrier (ACE-BOC) technique and proposes several feasible schemes for this signal. Comparison and optimization of these techniques are made from the aspects of transmission efficiency, multiplexing efficiency, and service forward compatibility. Based on the Type-III ACE-BOC multiplexing modulation technique, phase rotation and intermodulation reconstruction techniques are proposed to suppress the intermodulation interference issue. Finally, a signal based on improved ACE-BOC multiplexing is designed. The quality of the proposed signal was continuously monitored and tested using large-diameter antennas. The evaluation results show that the power spectrum deviation of the signal is 0.228 dB, the correlation loss is 0.110 dB, the S-curve slope deviation is 1.558% on average, the average length difference between the positive/negative chip and the ideal chip is only 0.0006 ns, and the coherence between the carrier and the pseudo code is 0.082°. All quality indicators are satisfactory, indicating that the proposed signal multiplexing modulation technique is an ideal solution that meets all the requirements of the design constraints, and can achieve efficient information broadcasting and forward compatibility of the BDS PPP service.

Adversarial Deception Against SAR Target Recognition Network

Synthetic Aperture Radar (SAR) automatic target recognition (ATR) technology is one of the key technologies to achieve intelligent interpretation for SAR images. With the rapid development of deep learning, deep neural networks have been successively used in SAR ATR and show priority in comparison with the conventional methods. Recently, more and more attention is paid to the robustness of deep learning based SAR ATR methods. The reason is that maliciously modified and imperceptible adversarial images can deceive the SAR ATR methods which are based on the deep neural networks. In this paper, we propose a novel SAR ATR adversarial deception algorithm, which fully considers the characteristics of SAR data. Our method can obtain the satisfactory perturbations with a higher deception success rate, a higher recognition confidence, and a smaller perturbation coverage than other state-of-the- art methods for the SAR images. Experimental results using the MSTAR dataset and OpenSARShip dataset demonstrate the effectiveness of our method. The proposed adversarial deception method can be used in the applications such as SAR dataset protection, SAR sensor design and SAR image quality evaluation.

Design quality assessment of campus facilities through post occupancy evaluation

PurposeThis study aims to present the design quality assessment of facilities on a university campus in Saudi Arabia.Design/methodology/approachForty-nine standardized design quality indicators (DQIs) have been adopted for the study. These were classified into relevant categories including: “Indoor Environment, Safety and Maintenance,” “Furniture, Utilities and Spaces” and “Privacy, Appearance and Surrounding Areas.” A web-based survey was used to obtain responses from 207 respondents. The survey was designed based on a Likert scale of satisfaction and was analyzed to obtain the satisfaction indices (SI) as well as Design Quality Scores (DQS).FindingsOccupants were dissatisfied the “level of noise generated from within the space,” “amount of natural light from daylighting systems” and “ease of control of air ventilation systems” among others. The DQS revealed that residential buildings had the highest design quality in terms of “Indoor Environment, Safety, and Maintenance” and “Privacy, Appearance and Surrounding Areas.” Administrative buildings had the best design quality in terms of “furniture, utilities and spaces.” Academic buildings had the lowest design quality in terms of “Indoor Environment, Safety and Maintenance” and “Privacy, Appearance and Surrounding Areas.”Originality/valueUltimately, the study demonstrated how the adoption of a standard set of DQIs could facilitate the standardization of design quality evaluation in the property sector as well as identify best practices through comparison and benchmarking.

Acoustic emission test method for investigation of M250 maraging steel pressure vessels for aerospace applications

Quality and reliability are principal concern in rocketry due to the involved costs and risk. Large size industrial components like pressure vessels manufactured out of M250 Steel are one of the critical sub-systems. In spite of the best efforts in the design aspect and quality evaluation during production, online structural integrity evaluation is still a challenging assignment. A quick survey of the available Non-Destructive Evaluation (NDE) techniques suggests Acoustic Emission (AE) as the only viable method. Such a real-time monitoring of the pressure vessel casings will help in identifying any impending failure in terms of structural integrity degradation even at an earlier stage and thereby necessary corrective actions could be taken-up that save a lot of costs and time in addition to allow to produce quality products. The current manuscript details various steps involved in acoustic emission testing of pressure vessels. The testing process involve stages like attenuation measurement, wave velocity measurement, sensor layout, pressure cycle determination, online testing and data interpretation. Based on in depth attenuation studies, the various sensor layouts adopted for testing pressure vessels are discussed at length. Some of the general practices and requirements in AE testing are discussed. Various efficient triangulation techniques are presented. The pressure cycle and pressurization rates to be followed are explained in connection with AE data acquisition. Various AE parameters to be ensured during online testing are enlisted.

Design stage evaluation tools for residential dementia care environments

PurposeThe independence and well-being of people with dementia can be significantly influenced by the design of the physical environments around them. Several assessment tools exist to evaluate the dementia design quality of existing residential aged care facilities but, to date, none have been formally identified as suitable for use during the design process. This paper aims to examine the feasibility of re-purposing existing post-occupancy tools for use during the design process, while mapping the influence of design stages on resulting dementia design quality.Design/methodology/approachLiterature searches identified audit tools for residential aged care settings. After reliability screening, three tools were analysed in-depth, mapping their suitability for use during the design process.FindingsThe study confirmed that existing tools can be re-purposed for design stage use and identified that early design stages have a larger influence on overall dementia design quality than previously thought.Research limitations/implicationsNon-English language publications were not reviewed. Searches may not have identified other existing audit tools for residential care environments.Practical implicationsThe ability to assess proposals at key stages of design may help improve the dementia design quality of future residential aged care environments – potentially enhancing the lives of ever-larger numbers of people with dementia.Originality/valueAccording to the authors’ knowledge, this is the first known paper to consider formal design-stage evaluation of dementia design quality and the first to identify the relative influence of key stages of design on the resulting dementia design quality.

Optimization of stir-baked technology for Flos Sophorae Immaturus tea according to quadratic regression rotation-orthogonal design method and quality evaluation

This study aimed to optimize the stir-baked technology for Flos Sophorae Immaturus tea (FSIT) and evaluate the quality of FSIT. The optimum stir-baked conditions were found to be as follows: amount, 3.9 kg; rotation speed, 400 r/min; and time required to reach the temperature of 120°C, 5 min and maintained for 3.9 min after adding 15 mL of 1% stevioside. The machine-made FSIT soup was clear and golden in color, with charred taste, no bitterness, no peculiar smell, and improved sensory quality under the above-mentioned conditions. Heavy metal contents and microorganisms did not exceed the national standards.

"TV 프로그램과 채널의 브랜드 자산 가치 향상을 위한 디자인 측면의 품질 평가에 관한 연구 -피터 모빌의 허니콤 모델을 중심으로- "

"TV 프로그램과 채널의 브랜드 자산 가치 향상을 위한 디자인 측면의 품질 평가에 관한 연구 -피터 모빌의 허니콤 모델을 중심으로- "