Fuzzy Kano Model Research Articles

Sustainable Innovative Design of Elderly-Friendly Smart Medical Products: An Integrated Model

Under the promotion of combined medical and elderly care (CMEC) policies, the market demand for elder-friendly smart medical products as convenient intelligent healthcare devices is growing. However, most studies on elderly-friendly smart medical products focus on functional enhancement and cost control, and there is a lack of research on the sustainable innovative design of elder-friendly smart medical products from the perspective of elderly emotional needs. Therefore, this paper proposes an integrated framework based on the fuzzy Kano model, Kansei engineering, and theory of inventive problem solving (TRIZ) for mapping the complex and dynamic emotional needs of the elderly to product design parameters to produce innovative solutions, ensuring the sustainability of the design process and the innovativeness of the design solutions of elder-friendly smart medical devices. We verified the effectiveness and applicability of this integrated framework through a case study involving sustainable innovation design of a smart blood pressure device. The results of this study are of considerable theoretical and practical significance for promoting the development of the market for elder-friendly smart medical products under the policy of CMEC, meeting the needs of the elderly for healthcare devices and improving their quality of life.

Design and evaluation of smart blood pressure monitor oriented to user needs

This study aims to address the caregiving needs and medical challenges of EPCD through the design and evaluation of a smart blood pressure monitor. Firstly, the user requirements of EPCD are obtained through on-site investigations, user interviews, and questionnaires. To accommodate the fuzziness of user needs, a Fuzzy KANO (FKANO) model questionnaire is constructed to accurately classify and filter user demands. Subsequently, based on the categorised user demands, an evaluation system is developed, and three smart blood pressure monitors are designed. Additionally, the weights of each evaluation criterion are calculated using the Coefficient of Variation (CV) method, aiming to mitigate subjectivity in the decision-making process. Finally, the three existing blood pressure monitors on the market and the three smart blood pressure monitors designed in this study were introduced to participate in the decision-making process. Grey Relational Analysis (GRA) is employed to calculate the degree of correlation in the data of alternative designs, ultimately determining the optimal design proposal. This study established a comprehensive evaluation system that combines FKANO, CV method, and GRA method to effectively reflect user needs, provide valuable insights for the design team, and guide the development of medical devices that better meet user needs.

A hybrid FKANO-CRITIC-CCD model for furniture design and evaluation

People’s demands for a higher quality of life are increasing, and furniture remains an essential part of daily life. In traditional furniture design methods, designers typically rely on their experience, leading to significant disparities between design solutions and user expectations. A comprehensive model is proposed with combination of Fuzzy KANO (FKANO) method, the Criteria Importance through Intercriteria Correlation (CRITIC) method, and the Coupling Coordination Degree (CCD) method for furniture design and evaluation, using desk design as an example. Firstly, FKANO model is applied to classify and filter user requirements, identifying crucial user needs as the basis for subsequent design. Secondly, three desk design proposals that align with user requirements are formulated. Thirdly, the CRITIC method is introduced, using the filtered user requirements to construct an evaluation system and calculate the weights of various indicators. Lastly, the CCD method is applied to select the optimal desk design from five samples, including three designed by this study and two existing on the market. This comprehensive approach contains critical stages such as requirement identification, weight determination, and solution selection, achieving comprehensive research objectives. Besides, sensitivity analysis was conducted to validate the effectiveness of this integrated model, demonstrating its ability to balance different user requirements under different weight settings. The results indicate that the proposed approach enhances the scientific rigor, systematization, and user satisfaction of the furniture design and decision-making process. It offers valuable guidance for furniture manufacturers and designers, allowing furniture products to more effectively align with market demands, thus enhancing their competitiveness.

Research on Leased Space of Urban Villages in Large Cities Based on Fuzzy Kano Model Evaluation and Building Performance Simulation: A Case Study of Laojuntang Village, Chaoyang District, Beijing

China is in the transition period of urbanization, and the imbalance of land use generated during the original rapid development of megacities still exists, resulting in the preservation of a large number of urban villages in the peripheral areas of cities. Unlike formal housing, these villages are heavily influenced by the confrontation and interweaving between top-down policies of local governments and bottom-up spontaneous construction by local villagers, resulting in a diverse and complex status quo. At the same time, self-built housing in urban villages has become a gathering place for a large number of low-income migrants due to its relatively low rental prices. In terms of the research of urban villages on the current situation of housing, the real needs of users and housing performance are mostly subjective judgments and conclusions. Therefore, the entry point of this paper is the leased space and the leasers, taking Laojuntang Village in Chaoyang District of Beijing as the research object and analyzing its current problems and the real needs of users. This paper adopts an integrated approach of fuzzy Kano model evaluation and building performance simulation. After analyzing the data and discussing the influencing factors, this paper identifies the specific problems and user needs that exist in leased spaces in Laojuntang Village: (1) The architectural performance of leased space is a Must-be Quality, which is the bottom-line requirement and must be improved. (2) The quality of the basic facilities and equipment of the leased space is mostly a One-dimensional Quality, Attractive Quality, and the degree of importance is lower than that of the building performance. (3) The external activity facilities of the leased space are mostly undifferentiated needs, for which the local users are not particularly prominent. (4) The scale and plot ratio of local housing is relatively high, and users are dissatisfied and complaining, which falls under the category of Reverse Quality.

A Study of Digitization Strategies and Audience Interaction in New Media Art Exhibitions in Museums

Abstract With the rapid development of digital technology, the digital system based on the fuzzy kano model provides a digital strategy for new media art exhibition museum information dissemination, digital display, and other fields. In this paper, the fuzzy Kano model is used to design the digital museum, and the system design starts from the five elements of user experience. The digital system is designed from the levels of the strategy layer, scope layer, structural layer, framework layer, and performance layer, respectively. Clustering the sensors first is used to obtain the functional area in the classification of audience behavior. The optimal clustering results can be achieved through spectral clustering of sensor graphs. Clustering is proposed using the typical movement pattern extraction algorithm. Optimization indexes are set to achieve optimal typical movement patterns. The auxiliary sensors capture the interactive movements of the audience with the artwork and collect logical information. Behavioral pattern templates for various types of viewers are constructed using viewer attribute labels. In the user classification method based on behavioral patterns, edges in the graph are used as features, and an optimization problem is constructed to solve the importance of each feature for audience classification. The implementation of interactive features greatly enhances the interactive experience of the audience. It makes the audience’s novelty evaluation score of the system reach 8.671. The classification algorithm based on the behavioral model performs well in all evaluation indexes, which indicates that the system proposed in this paper meets the audience’s digital and interactive needs for new media art exhibitions.

Exploring Taiwan’s Landscape Painting Aesthetic Preferences Through Evaluation Grid Method and the Continuous Fuzzy Kano Model

The primary objective of this study is to apply the Evaluation Grid Method (EGM) and the continuous fuzzy Kano quality model to explore the cognitive preferences of Taiwan residents regarding the beauty of Taiwan’s landscape paintings. The aim is to contribute to the development of social and cultural art and promote the widespread appeal of art products. Through a literature review, consultations with aesthetic experts, and the application of Miryoku Engineering’s EGM, this paper consolidates the factors that contribute to the attractiveness of painting art products among Taiwan residents, taking into account various aesthetic qualities. Simultaneously, the paper introduces the use of the triangular fuzzy golden ratio scale semantics, specifically the equal-ratio aesthetic scale semantics, as a replacement for the traditional subjective consciousness model. Departing from the traditional discrete Kano model that employs the mode as the standard for evaluating quality, this study applies triangular fuzzy numbers to the continuous Kano quality model to analyze the diverse preferences and evaluation standards of the public. The hope is that this research methodology will not only deepen Taiwan residents’ understanding and aesthetic literacy of painting art but also serve as a reference for the popularization of art products.

A study on requirement optimization of intelligent health care information system for rural elderly based on improved FKM-TOPSIS method

Against the backdrop of China’s young and middle-aged population moving to the cities to work, older adults in rural areas of China are facing even more severe old-age and healthcare dilemmas. Under such circumstances, how to improve the functions of age-appropriate smart wearable products to meet the needs of older adults in rural areas for old age and health care has become a focal issue in Chinese society. In this paper, we change the traditional Fuzzy Kano Model (FKM) research method, quantify the research results, and use the superiority and inferiority coefficient formula to scientifically classify user needs after conducting research on different functions of smart wearable devices and obtaining different user needs: M denotes must-be demand; O denotes performance demand; A denotes attractive demand; and I denote indifferent demand. A theoretical multidimensional analysis of the generated data was performed to determine the requirements priority of the rural elderly. Then, using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach, compute the relative closeness of user satisfaction, i.e., the priority of functional needs. Finally, testing the product prototypes of “PC-based and mobile-based” information systems of smart wearable devices and identifying the most critical demand concentrated on emergency assistance for rural older adults. Such as 120 Call, Call Emergency Contacts, Positioning System, Blood Pressure Testing, Heartbeat Pulse Monitoring, etc. These functions can effectively reduce the health risks of older adults in critical emergencies, confirm the scientific character of user demand prioritization, establish the viability of the study, and provide new ideas for intelligent product-related research to continue.

Evaluating the service quality of insular and coastal recreational fisheries by integration of the SERVQUAL-fuzzy Kano model and importance-performance analysis

Service quality plays an essential role in the development of recreational fisheries. Analyzing and evaluating service quality provides potential insights into the directions for future advances in recreational fisheries. This study established 16 attributes of five dimensions based on the SERVQUAL (Service Quality) method to measure the service quality of recreational fisheries. From the perspective of tourists, we developed an evaluation system of the recreational fishery service quality of Shengshan Island and Lianjiang County in China, based on the fuzzy Kano model and importance-performance analysis. Research results identified similarities and significant differences in the quality of recreational fishery services in the two regions. On the one hand, in terms of transportation, infrastructure, project prices, and product prices, their service quality performs satisfactorily; on the other hand, the recreational fishery of Shengshan Island exhibited a higher development level than that of Lianjiang. It is noteworthy that Shengshan shows disadvantages in terms of recreational fishery activities and experience programs, which are regarded as the strengths of Lianjiang's recreational fishery. Shengshan demonstrates strengths in accommodation and catering, which are identified as shortcomings of Lianjiang's recreational fishery. Therefore, in order to ensure the sustainable development of recreational fisheries, Shengshan Island and Lianjiang County should strive to maintain their respective strengths and improve their weaknesses. Finally, based on the analysis results and field research findings, countermeasures and suggestions for enhancing the service quality of recreational fisheries in the two regions are proposed, serving as a reference for recreational fisheries encountering similar issues.

Multi-stakeholder’s sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach

Sustainable development is of great significance to all Smart Manufacturing Systems (SMSs). Complex multi-stakeholder requirements influence the design and implementation of SMSs. Capturing multi-stakeholder requirements of SMSs are very important to manufacturer for construction or business process reengineering (BPR) phase of SMSs. However, there is a lack of the research on SMSs requirements (SMSs-R) list from the sustainable value view of multi-stakeholder and a lack of illustrating the complex relationship between SMSs and multi-stakeholder. Therefore, this study provided a systematic method to capture the SMSs-R list and explain the complex relationship between the SMSs and their multi-stakeholder. The contribution of this research study offers the comprehensive approach to capture SMSs-R based on stakeholder salience model and stakeholder value network. Secondly, the quantification analysis of SMS-R is proposed to determine the urgency and importance through the comprehensive fuzzy Kano model. Thirdly, SMSs-R list is obtained through the systematic evaluation methods, including graph theory, dependency relationship matrix, and network statistical. Finally, a case study in Chinese company is used to check the feasibility of the proposed approach. The results show that our method can provide a visual and effective analysis for traditional manufacturing enterprises, and improve the operability and accuracy of SMSs-R list in the preliminary design or BPR stage.

ASSESSMENT OF SERVICE QUALITY USING SYNERGIES OF FUZZY SERVQUAL, FUZZY KANO’S MODEL, AND FUZZY ANALYTIC NETWORK PROCESS INTO QFD

The essence of banking service will always be service quality. To gain customer satisfaction, enhance market rivalry, and achieve sustainable performance. The primary goal of this article is to identify the primary factor contributing to high customer dissatisfaction and poor service quality in bank services. This article synergies fuzzy SERVQUAL, fuzzy Kano model, and fuzzy analytic network processing into QFD. Structured survey questions based on SERVQUAL and Kano models were developed and disseminated to collect data. According to the findings, the bank should offer the promised service within the time range, respond to client concerns immediately, and supply appropriate service within the time frame. Furthermore, an employee should give timely care to the client; the employee should never be too busy to respond to customer demands and inform the consumer when service is delivered. In conclusion, focusing on customer requirements can enhance the bank's service level, which increases customer satisfaction.

Integrating continuous fuzzy Kano model and fuzzy quality function deployment to the sustainable design of hybrid electric vehicle

Integrating continuous fuzzy Kano model and fuzzy quality function deployment to the sustainable design of hybrid electric vehicle

Hierarchizing the Product Characteristics of Industrial Plain Sewing Machine for Making Best Purchase Decision

Thousands of readymade garment industries are available in Bangladesh, where thousands of sewing machines are being used. The productivity of these sewing machines mostly depends on workers but more or less depends on the machine too. Suitable machines should be sourced to increase worker efficiency and production. Purchasing these machines needs some information or criteria ranking for choosing the best or most suitable machine. This study focuses on identifying and prioritizing those characteristics that fulfil the workers’ (users’) requirements and benefit the industry’s overall income. This study intends to investigate the application of the fuzzy Kano model and AHP (analytical hierarchy process) to translate consumer expectations and design into quality products. Customer needs and technical attributes are assessed and prioritized using the AHP. Then, the optional attributes were prioritized by using the Kano model. RMG industries and their purchasing departments can use these prioritized qualities charts to help them choose a sewing machine. Manufacturers of sewing machines can utilize this information to improve their sewing machine qualities, such as if they need to add or remove any attributes that the consumer requires or does not require.

Contractor selection for green buildings based on the fuzzy Kano model and TOPSIS: a developer satisfaction perspective

PurposeContractor selection is critical in green buildings (GBs) since the preferred contractor has the responsibility to achieve construction sustainability as well as relationship sustainability. The developer satisfaction reflecting requirements can boost the cooperative relationship among stakeholders and act as an evaluation scale for the success of GB projects, which needs to be emphasized in the selection process but little involved in the existing research. This study explores improving GB contractor (GBC) selection by integrating developer satisfaction into selection procedures.Design/methodology/approachA systematic framework of GBC selection including twenty-five criteria from literature review and experts survey is firstly constructed. Both tactical and strategic criteria are further classified into Kano categories (must-be, one-dimensional, and attractive categories) using the fuzzy Kano model (FKM), and weighted by the developer satisfaction index. The model proposed by this study combining FKM and TOPSIS divides the selection process into the filtration phase and selection phase by Kano categories. The proposed model is finally verified through performance comparison among multiple methods in a case.FindingsSelection criteria are measured linearly and nonlinearly, showing criteria having nonlinear satisfaction change accounts for two-thirds of all. Criteria at tactical level tend to be must-be or one-dimensional categories for the developer, and most strategic criteria are classed as the attractive category, indicating that adding strategic criteria is necessary for long-term cooperation. The proposed model, using developer satisfaction to improve the selection process, ensures the selected GBC to be the most satisfactory with requirements of the developer and makes the performance of GBCs easily distinguishable.Originality/valueThis study contributes to the existing body of knowledge for promoting relationship sustainability by supplementing an integrated model with emphasis on developer satisfaction in GBC selection, so as to establish a good initial foundation due to the match between performances of GBCs and needs of developers. It not only helps maximize developer satisfaction in GBC selection by applying satisfaction to pre-construction management, but also instructs GBCs to prioritize performance improvements. The framework is also conducive for developers to classify selection criteria and select other participants (like green suppliers) from the satisfaction perspective in GBs.

Jewelry Packaging User Demand Analysis Based on Fuzzy Kano Model

China’s jewelry sales maintain a good momentum of annual growth, and consumption potential is huge. However, jewelry packaging design faced many problems. Even through China has many jewelry brands, the packaging is poorly designed. The fundamental reason lies in the lack of targeted design of jewelry packaging and the lack of detailed analysis and research, only to meet the functional use. Fuzzy front-end is suitable for the initial stage of product design and determines the success or failure of product design. In view of the uncertain factors, such as consumer demand, technical characteristics, and competitive environment that need to be considered in jewelry packaging design, this paper takes jewelry packaging products, jewelry brands, and fuzzy front-end as research objects, analyzes the existing problems, and makes quantitative analysis by using methods such as questionnaire survey, brainstorming, and scenario analysis. Rough set theory and Kano Model are used to classify and analyze user demand information and determine the realization opportunity. Finally, the research ideas of this topic are formed, and the corresponding research methods and models for ring packaging in jewelry are put forward and verified by examples, so as to form a research method suitable for fuzzy front-end design of jewelry packaging and improve the quality of jewelry packaging design.

KANO Model-Enabled Performance Evaluation of Urban Public Sports Services.

Starting from the goal of overall equalization of basic public services by 2035 as proposed in the report of the 19th Party Congress, firstly the research history of the equalization of public sports services in China is analyzed in stages, and a solid theoretical foundation is laid for the construction of the evaluation index system. Secondly, the performance evaluation system of urban public sports services, which is based on KANO model, is constructed by combining the current development status of public sports services in China. Additionally, fuzzy KANO model is used to analyze and categorize the collected indicators and establish a user-oriented evaluation index system. Finally, an empirical study was conducted on a region using the evaluation system, and the results showed that the degree of equalization of public sports services in the region was achieved to a high degree and was basically close to reaching the target requirement of equalization.

Developing a Food and Beverage Corporate Sustainability Performance Structure in Indonesia: Enhancing the Leadership Role and Tenet Value from an Ethical Perspective

The food and beverage industry is the second largest contributor to Indonesia’s economy; however, most industry firms significantly, and negatively, impact ecological and economic performance, and corporate sustainability performance is considered an area that can be significantly improved. This study aims to measure the causal interrelationships among the hierarchical attributes, as well as the decisive attributes that force successful corporate sustainability. Further, there are also other factors that have a negative impact, such as poor social justice and firms’ responsibilities and identities. Hence, emphasizing the ethics role to ensure a better sustainable performance in addition to focusing on the traditional triple-bottom-line is needed. A hybrid method is used. The fuzzy Delphi method develops a valid theoretical structure. The fuzzy decision-making trial and evaluation laboratory addresses the causal effect among the attributes. The fuzzy Kano model is used to determine the decisive attributes that enhance corporate sustainability performance in practice. The results show that a leadership role, tenet values, human potential development, and environmental impacts are the causative aspects, and the role of ethical issues is confirmed though its influence on the leadership role and tenet value aspects. This study contributes to the corporate sustainability performance literature by offering new theoretical angles as a hierarchical structure and elaborating the causal linkages among the attributes. Practical guidelines are provided to the Indonesian food and beverage industry, thus helping to archive reference data on firm performance and competitive advantage.

Prioritizing risk factors in sustainable supply chain using fuzzy Kano and interval-valued intuitionistic fuzzy QFD

PurposeThe purpose of the paper is to develop a hybrid method to prioritize risk factors (RFs) of sustainable supply chain (SSC) considering sustainable customer requirements (CRs) and uncertain evaluation.Design/methodology/approachIn the proposed method, fuzzy Kano model (FKM) is applied to prioritize sustainable CRs considering customer satisfaction (CS) and objective weight of each CR, the interval-valued intuitionistic fuzzy (IVIF) set theory is integrated with quality function deployment (QFD) to translate the sustainable CRs into RFs of SSC under uncertain environment and the IVIF cross-entropy is used to conduct objective analysis to prioritize RFs. Finally, a case in air-conditioner-manufacturing company is presented to demonstrate the proposed method.FindingsA case study of SSC risk management, the comparative analysis and associated discussions are conducted to illustrate the feasibility and effectiveness of the proposed method. The results obtained from the case study shows that RF5 (market share reduction) is the most important RF in the SSC. Compared with the existing methods, the proposed method can integrate sustainable CRs into SSC's RFs, handle uncertain information effectively and obtain objective importance of RFs.Originality/valueTheoretically, the paper develops a customer-oriented model based on the FKM, QFD, IVIF sets and entropy theory to prioritize RFs of SSC under uncertain environment. The model enables to integrate sustainable CRs into RFs managements and is efficient to deal with the subjectivity and conduct objective analysis to prioritize RFs. In practice, the systematic and correct RFs' priorities analysis provides reliable decision support for the managers to take measures to avoid or mitigate the critical RFs.

Hybrid Approach to Corporate Sustainability Performance in Indonesia’s Cement Industry

This study aimed to create a solid framework for decision-making in Indonesia’s cement industry, emphasizing those factors which bring about the most impactful results. The framework was developed using the fuzzy Delphi method, the fuzzy decision-making trial and evaluation laboratory, and a fuzzy Kano model. This study builds a hierarchical structure to approach the impact of corporate sustainability performance. We classify important factors into causes or effects and further identify those factors which are critical to improving the performance of Indonesia’s cement industry. Although corporate sustainability performance is a crucial topic in today’s business environment, sustainability strategies remain underrated in Indonesia. We confirm the validity of 19 factors within the following dimensions: environmental impact, social sustainability, economic gain, technological feasibility, and institutional compliance. The sub-dimensions of community interest, risk-taking ability, and regulatory compliance were identified as causes of perceived risks and benefits. In contrast, the following factors were identified as critical to improving corporate sustainability performance: renewable energy resources, contributions to charity, the perception of management regarding technology as a differentiator, and firm readiness to collaborate with high-tech companies.

Integrating Kano Model, AHP, and QFD Methods for New Product Development Based on Text Mining, Intuitionistic Fuzzy Sets, and Customers Satisfaction

Online reviews are crucial to any online business that wants to increase sales on the Internet. Customer reviews have information about product attributes, customer requirements (CRs), and shopping experience; mining reviews provide the direction of decision-making for new product development and design (NPDD). Besides, the information of customer preference has vagueness and uncertainty, and the accuracy of decision-making information directly affects the success of NPDD. This paper proposed a methodology that integrates the Kano model (KM), analytic hierarchy process (AHP), and quality function deployment (QFD) methods with intuitionistic fuzzy set (IFS) to solve decision-making problems in NPDD. By the new method, the web crawler technology was first applied to e-commerce web sites to collect raw data, and the representative CRs were extracted through combining LDA model with Apriori algorithm. Second, the intuitionistic fuzzy Kano model (IFKM) is proposed to evaluate adjustment coefficient of CRs and Kano categories via customer preference membership functions. Thirdly, overall weights which contained emotional needs (ENs) and functional needs (FNs) are obtained via intuitionistic fuzzy analytic hierarchy process (IFAHP); thus, the adjusted weights are calculated from IFKM and IFAHP. Next, the intuitionistic fuzzy quality function deployment (IFQFD) is proposed to acquire engineering characteristics (ECs) of weights through combining competition benchmarks and based on technical benchmarks to make goals for a company’s NPDD. Finally, the method was applied to study vertical-configured air conditioner (VAC) as an example. The results showed that the application of text mining and IFS to improve CS is both reliable and scientific.

Product Appearance Design Based on Consumers' Kansei Image and Fuzzy Kano Model Satisfaction Evaluation - Case Study of Air Purifier

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.