Development of a new knowledge-based fabric recommendation system by integrating the collaborative design process and multi-criteria decision support

2017 ◽  
Vol 88 (23) ◽  
pp. 2682-2698 ◽  
Author(s):  
Yan Hong ◽  
Xianyi Zeng ◽  
Pascal Bruniaux ◽  
Yan Chen ◽  
Xujing Zhang

In this paper, a perception-based fabric recommendation system is proposed to help fashion designers to select the most appropriate fabric in the design process, meeting the perception of the target consumer. The proposed methodology is based on the development of an interactive hierarchical structure, decomposing the decision problem into five levels: goal, criteria (consumers' requirements), sub evaluation criteria (fabric properties), rating scale, and alternatives, which ensures the analysis of requirements of consumers and knowledge sharing among designers. The proposed knowledge-based recommendation system includes a collaborative design process, a commonly used sensory evaluation procedure, and a computational model using the Fuzzy AHP (Analytic Hierarchy Process) and Fuzzy TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) algorithms. The Fuzzy AHP method is used to structure the fabric selection problem and determine the relevant weights of the concerned criteria and corresponding components, while the Fuzzy TOPSIS method is used to evaluate the alternative fabrics based on the criteria obtained from the AHP process and to give the total final ranking of the involved fabric alternatives. Experimental results indicate that, using the proposed interactive hierarchical structure, professional knowledge of the designers can be fully extracted to ensure a high level of consumer satisfaction.

2017 ◽  
pp. 587-616 ◽  
Author(s):  
Ümran Şengül ◽  
Miraç Eren

Technological developments resulted in creative, faster, target-oriented and knowledge-based marketing strategies more prone to interactions. Digital marketing is an example of marketing types arisen by technological developments. Digital marketing tools are rapidly growing since they can be performed through internet; they are faster and thus have an ascending trend. The amount of investment to be made to each digital marketing tool has become a significant decision making problems for the businesses. In this chapter, Fuzzy AHP and Fuzzy TOPSIS techniques were employed for the selection of digital marketing tools. Multi-criteria analysis revealed the Remarketing advertising as the most suitable digital marketing tool. Additionally, the social media advertising, advertising-per-impression, advertising-per-click, affiliate advertising, banner marketing and email-advertising were respectively found to be as the other significant marketing tools.


Author(s):  
Ümran Şengül ◽  
Miraç Eren

Technological developments resulted in creative, faster, target-oriented and knowledge-based marketing strategies more prone to interactions. Digital marketing is an example of marketing types arisen by technological developments. Digital marketing tools are rapidly growing since they can be performed through internet; they are faster and thus have an ascending trend. The amount of investment to be made to each digital marketing tool has become a significant decision making problems for the businesses. In this chapter, Fuzzy AHP and Fuzzy TOPSIS techniques were employed for the selection of digital marketing tools. Multi-criteria analysis revealed the Remarketing advertising as the most suitable digital marketing tool. Additionally, the social media advertising, advertising-per-impression, advertising-per-click, affiliate advertising, banner marketing and email-advertising were respectively found to be as the other significant marketing tools.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xue Ling ◽  
Yan Hong ◽  
Zhijuan Pan

PurposeThe purpose of this paper is to develop a dress design knowledge base (DDKB), which is expected to be further applied to a personalized dress recommendation system.Design/methodology/approachDress design knowledge can be expressed as the relationship between designer's fashion perceptions of different dress elements. In order to extract dress design knowledge, a dress shape ontology (DSO) is firstly developed, which can be further used to form a dress element matrix (DEM). A perceptual descriptive space of the dress (DPDS) is developed for the description of the designer's fashion perception of dress. Through a standard sensory evaluation procedure performed by experienced experts (designers), the expected relationship can be obtained. This relationship is then mathematically simulated by fuzzy logic tools for the expected DDKB.FindingsIn this paper, a DDKB has been developed. The established knowledge base has been validated, and it can be further applied to dress recommendation system for a specific consumer.Originality/valueThis study introduces the concept of knowledge base to the area of dress individualized design. The knowledge-based design process based on sensory evaluation and fuzzy logic can efficiently solve the individualization of dress design in traditional design processes, which can provide a novel way to dress design individualization.


2017 ◽  
Vol 25 (0) ◽  
pp. 113-118 ◽  
Author(s):  
Yan Hong, ◽  
Yan Hong, ◽  
Yan Hong, ◽  
Yan Hong, ◽  
Xianyi Zeng ◽  
...  

This paper presents a virtual design process for a tight-fitting garment pattern for adapted consumer garments, aimed at consumers with scoliosis. The design process proposed is based on a virtual human model created using a 3D scanner, allowing simulation of the morphological shape of an individual with atypical physical deformations. Customized 2D and 3D virtual garment prototyping tools are used in combination to create products through interactions between the consumer, designer and pattern maker. After following an interactive sequence: Scanning – Design – Display – Evaluation – Adjustment, a final design solution acceptable to both the designer and consumer can be obtained. Through this process, traditional 2D garment design knowledge, especially design rules influenced by the fabric information, is fully utilized to support the design process proposed. Using the knowledge based collaborative design process, design satisfaction can be largely improved.


Author(s):  
Camilo POTOCNJAK-OXMAN

Stir was a crowd-voted grants platform aimed at supporting creative youth in the early stages of an entrepreneurial journey. Developed through an in-depth, collaborative design process, between 2015 and 2018 it received close to two hundred projects and distributed over fifty grants to emerging creatives and became one of the most impactful programs aimed at increasing entrepreneurial activity in Canberra, Australia. The following case study will provide an overview of the methodology and process used by the design team in conceiving and developing this platform, highlighting how the community’s interests and competencies were embedded in the project itself. The case provides insights for people leading collaborative design processes, with specific emphasis on some of the characteristics on programs targeting creative youth


2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.


Author(s):  
Clare Burgon ◽  
Sarah Elizabeth Goldberg ◽  
Veronika van der Wardt ◽  
Catherine Brewin ◽  
Rowan H. Harwood

<b><i>Background:</i></b> Apathy is highly prevalent in dementia and is also seen in mild cognitive impairment and the general population. Apathy contributes to failure to undertake daily activities and can lead to health problems or crises. It is therefore important to assess apathy. However, there is currently no gold standard measure of apathy. A comprehensive systematic review of the measurement properties of apathy scales is required. <b><i>Methods:</i></b> A systematic review was registered with PROSPERO (ID: CRD42018094390). MEDLINE, Embase, PsycINFO, and CINAHL were searched for studies that aimed to develop or assess the validity or reliability of an apathy scale in participants over 65 years, living in the community. A systematic review was conducted in line with the COnsensus-based Standards for the selection of health Measurement INstruments procedure for reviewing patient-reported outcome measures. The studies’ risk of bias was assessed, and all relevant measurement properties were assessed for quality. Results were pooled and rated using a modified Grading of Recommendations Assessment, Development, and Evaluation procedure. <b><i>Results:</i></b> Fifty-seven publications regarding 18 measures and 39 variations met the eligibility criteria. The methodological quality of individual studies ranged from inadequate to very good and measurement properties ranged from insufficient to sufficient. Similarly, the overall evidence for measurement properties ranged from very low to high quality. The Apathy Evaluation Scale (AES) and Lille Apathy Rating Scale (LARS) had sufficient content validity, reliability, construct validity, and where applicable, structural validity and internal consistency. <b><i>Conclusion:</i></b> Numerous scales are available to assess apathy, with varying psychometric properties. The AES and LARS are recommended for measuring apathy in older adults and people living with dementia. The apathy dimension of the commonly used Neuropsychiatric Inventory should be limited to screening for apathy.


2013 ◽  
Vol 712-715 ◽  
pp. 2888-2893
Author(s):  
Hai Qiang Liu ◽  
Ming Lv

In order to realize information sharing and interchange of complex product multidisciplinary collaborative design (MCD) design process and resources. The Process integrated system control of product multidisciplinary collaborative design was analyzed firstly in this paper, then design process of complex product for supporting multidisciplinary collaborative was introduced, a detailed description is given of the organization structure and modeling process of MCD-oriented Integration of Product Design Meta-model ; and concrete implement process of process integrated system control method was introduced to effectively realize information sharing and interchange between product design process and resources.


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