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Wen-Yau Liang
Department of Information Management, National Changhua University of Education, Changhua 50074, Taiwan

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Journal article
Published: 26 November 2020 in Applied Sciences
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In recent years, with the development of Web2.0, enterprises, government agencies, and traditional news media, which have been positively influenced by opinion leaders, have been dedicated to understanding leaders’ opinions on the web in order to seek convergence. Specifically, with the increase of environmental awareness, the introduction of green energy and carbon reduction technology has become an important issue. Consequently, studies identifying opinion leaders and followers who are interested in green energy and low carbon have become important. This study aims to find a solution that can identify the characteristics of opinion leaders and followers that can be widely used, which will help certain public policies or issues to be more effectively disseminated in the future. To model the characteristics of opinion leaders and their influence on followers, this study uses a dual matrix. The interaction patterns are recognized among opinion leaders and followers, with the aim of developing public policy to promote green energy and low carbon emissions. A case is studied to validate the superiority of the proposed solution approach. With the proposed approach, a (business) organization can identify and access opinion leaders and their followers. Through communication, these organizations can absorb strain and preserve functions despite the presence of adversity. This study also clearly demonstrates its contribution and novelty through comparisons with the existing alternative method.

ACS Style

Chun-Che Huang; Wen-Yau Liang; Po-An Chen; Yi-Chin Chan. Identification of Opinion Leaders and Followers—A Case Study of Green Energy and Low Carbons. Applied Sciences 2020, 10, 8416 .

AMA Style

Chun-Che Huang, Wen-Yau Liang, Po-An Chen, Yi-Chin Chan. Identification of Opinion Leaders and Followers—A Case Study of Green Energy and Low Carbons. Applied Sciences. 2020; 10 (23):8416.

Chicago/Turabian Style

Chun-Che Huang; Wen-Yau Liang; Po-An Chen; Yi-Chin Chan. 2020. "Identification of Opinion Leaders and Followers—A Case Study of Green Energy and Low Carbons." Applied Sciences 10, no. 23: 8416.

Journal article
Published: 29 September 2020 in Sustainability
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More and more people are involved in sustainability-related activities through social network to support/protect their idea or motivation for sustainable development. Understanding the variety of issues of social pulsation is crucial in development of social sustainability. However, issues in social media generally change overtime. Issues not identified in advance may soon become popular topics discussed in society, particularly controversial issues. Previous studies have focused on the detection of hot topics and discussion of controversial issues, rather than the identification of potential controversial issues, which truly require paying attention to social sustainability. Furthermore, previous studies have focused on issue detection and tracking based on historical data. However, not all controversial issues are related to historical data to foster the cases. To avoid the above-mentioned research gap, Artificial Intelligence (AI) plays an essential role in issue detection in the early stage. In this study, an AI-based solution approach is proposed to resolve two practical problems in social media: (1) the impact caused by the number of fan pages from Facebook and (2) awareness of the levels for an issue. The proposed solution approach to detect potential issues is based on the popularity of public opinion in social media using a Web crawler to collect daily posts related to issues in social media under a big data environment. Some analytical findings are carried out via the congregational rules proposed in this research, and the solution approach detects the attentive subjects in the early stages. A comparison of the proposed method to the traditional methods are illustrated in the domain of green energy. The computational results demonstrate that the proposed approach is accurate and effective and therefore it provides significant contribution to upsurge green energy deployment.

ACS Style

Chun-Che Huang; Wen-Yau Liang; Shian-Hua Lin; Tzu-Liang (Bill) Tseng; Yu-Hsien Wang; Kuo-Hsin Wu. Detection of Potential Controversial Issues for Social Sustainability: Case of Green Energy. Sustainability 2020, 12, 8057 .

AMA Style

Chun-Che Huang, Wen-Yau Liang, Shian-Hua Lin, Tzu-Liang (Bill) Tseng, Yu-Hsien Wang, Kuo-Hsin Wu. Detection of Potential Controversial Issues for Social Sustainability: Case of Green Energy. Sustainability. 2020; 12 (19):8057.

Chicago/Turabian Style

Chun-Che Huang; Wen-Yau Liang; Shian-Hua Lin; Tzu-Liang (Bill) Tseng; Yu-Hsien Wang; Kuo-Hsin Wu. 2020. "Detection of Potential Controversial Issues for Social Sustainability: Case of Green Energy." Sustainability 12, no. 19: 8057.

Journal article
Published: 26 March 2019 in Computer Standards & Interfaces
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Electronic commerce has changed traditional business trading behaviors, since consumers can easily consume through the Internet e-commerce platform. The Internet provides numerous products and services, but consumers find it is hard to choose their favorite ones. The Consumer-to-Business (C2B) is popular in recent years and it has become one of the best choices for customers forming a group to buy products. Thus, more and more consumers participate in online group buying. However, consumers anticipate to different prices when buying products and demand service. Thus, applying an intelligent agent into negotiation can effectively decrease efforts spent on collecting buyer information, transaction costs, and negotiation with sellers. This study proposed a system that applies an intelligent agent into the C2B e-commerce process, and evaluates the system through an experiment. Additionally, a questionnaire is used to investigate the benefits of the proposed intelligent agent systems. Analytical results show that the proposed intelligent system can increase user satisfaction, reduce performance risk, and raise perceived fairness, but nothing help on perceived value. It implied that the system still needs efforts and time to promote in nowadays commerce. If people can understand its value from finding the information they need, it must grant the more perceived value. Additionally, this system is not only applicable to C2B, but it can extend to other e-commerce models, because the agent can help the negotiation between the sellers and buyers.

ACS Style

Chih-Chin Liang; Wen-Yau Liang; Tzu-Lan Tseng; Juotzu Tseng. Evaluation of intelligent agents in consumer-to-business e-Commerce. Computer Standards & Interfaces 2019, 65, 122 -131.

AMA Style

Chih-Chin Liang, Wen-Yau Liang, Tzu-Lan Tseng, Juotzu Tseng. Evaluation of intelligent agents in consumer-to-business e-Commerce. Computer Standards & Interfaces. 2019; 65 ():122-131.

Chicago/Turabian Style

Chih-Chin Liang; Wen-Yau Liang; Tzu-Lan Tseng; Juotzu Tseng. 2019. "Evaluation of intelligent agents in consumer-to-business e-Commerce." Computer Standards & Interfaces 65, no. : 122-131.

Articles
Published: 21 August 2018 in The Service Industries Journal
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Nowadays, service sectors are facing a data tsunami. Previous studies on service sectors have been conducted using questionnaire surveys and have been subjectively analyzed using statistical analysis techniques. Such techniques make it difficult for non-statisticians to integrally explore the overall nature of questionnaire data in the big data paradigm. To further discover the quantitative and qualitative nature of a data set, granularity computing is used to make up for the weaknesses of statistical techniques and a rough set (RS) based solution approach is proposed. The Multi-Value Rule Generation (MVRG) algorithm is developed to analyze questionnaire data and deal with the roughness problem of multiple-values in outcome features. The rules resulting from the MVRG algorithm exhibit both the relationships between dependent and independent variables and the content of the relationships. Rules, rather than numerical charts, can be understood by non-statisticians. Two cases of tourism and hospitality are restudied and comparisons between the proposed approach and traditional analytical techniques are made to validate the complementary benefits of traditional statistical analysis. This comparison shows that the proposed solution approach provides further hidden knowledge behind the data set. The MVRG algorithm can complement statistical methods in finding hidden knowledge and providing comprehensive rules to non-statisticians.

ACS Style

Chun-Che Huang; Wen-Yau Liang; Dan-Wei (Marian) Wen; Ping-Ho Ting; Meng-Ying Shen. Qualitative analysis of big data in the service sectors. The Service Industries Journal 2018, 1 -19.

AMA Style

Chun-Che Huang, Wen-Yau Liang, Dan-Wei (Marian) Wen, Ping-Ho Ting, Meng-Ying Shen. Qualitative analysis of big data in the service sectors. The Service Industries Journal. 2018; ():1-19.

Chicago/Turabian Style

Chun-Che Huang; Wen-Yau Liang; Dan-Wei (Marian) Wen; Ping-Ho Ting; Meng-Ying Shen. 2018. "Qualitative analysis of big data in the service sectors." The Service Industries Journal , no. : 1-19.

Journal article
Published: 21 May 2015 in Journal of Intelligent Manufacturing
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To date, environmental awareness and government regulations have made businesses more responsible for waste disposal. From the product development standpoint, particularly in the design phase, disassembly factors including component disassemblability and recyclable component classification require further investigation. There has, however, been little literature survey focusing on disassemblability enhancement at the product design stage with the disassembly guidelines. In addition, cloud computing enables many applications of Web services and rekindles the interest of providing design services via the Internet. Recent research indicates that design delivered through cloud computing will outperform the traditional IT offers. In this study, the proposed methodology provides an total solution, which is able to: (1) Model the relationship of components and modularity, (2) explore component disassemblability and identify modules, (3) recognize disassembly patterns, (4) provide disassembly guidelines and recyclable component classification to instruct how to disassemble components, and (5) based on a cloud computing architecture, designers exchange and store their design information and knowledge for new sustainable product development. A case in electronic industry is studied and the results show that these companies are brought into conformance with environmental regulations, thereby enhancing product reuse, reduce, recycle, and reducing the disassembly time.

ACS Style

Chun-Che Huang; Wen-Yau Liang; Shan-Ru Yi. Cloud-based design for disassembly to create environmentally friendly products. Journal of Intelligent Manufacturing 2015, 28, 1203 -1218.

AMA Style

Chun-Che Huang, Wen-Yau Liang, Shan-Ru Yi. Cloud-based design for disassembly to create environmentally friendly products. Journal of Intelligent Manufacturing. 2015; 28 (5):1203-1218.

Chicago/Turabian Style

Chun-Che Huang; Wen-Yau Liang; Shan-Ru Yi. 2015. "Cloud-based design for disassembly to create environmentally friendly products." Journal of Intelligent Manufacturing 28, no. 5: 1203-1218.

Journal article
Published: 01 March 2013 in International Journal of Production Economics
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ACS Style

Wen Yau Liang; Chun-Che Huang; Yin-Chen Lin; Tsun Hsien Chang; Meng Hao Shih. The multi-objective label correcting algorithm for supply chain modeling. International Journal of Production Economics 2013, 142, 172 -178.

AMA Style

Wen Yau Liang, Chun-Che Huang, Yin-Chen Lin, Tsun Hsien Chang, Meng Hao Shih. The multi-objective label correcting algorithm for supply chain modeling. International Journal of Production Economics. 2013; 142 (1):172-178.

Chicago/Turabian Style

Wen Yau Liang; Chun-Che Huang; Yin-Chen Lin; Tsun Hsien Chang; Meng Hao Shih. 2013. "The multi-objective label correcting algorithm for supply chain modeling." International Journal of Production Economics 142, no. 1: 172-178.

Journal article
Published: 01 January 2013 in International Journal of Information and Education Technology
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ACS Style

Wen-Yau Liang. The Genetic Algorithm Incorporates with Rough Set Theory – An Application of the CloudERP Composition. International Journal of Information and Education Technology 2013, 147 -150.

AMA Style

Wen-Yau Liang. The Genetic Algorithm Incorporates with Rough Set Theory – An Application of the CloudERP Composition. International Journal of Information and Education Technology. 2013; ():147-150.

Chicago/Turabian Style

Wen-Yau Liang. 2013. "The Genetic Algorithm Incorporates with Rough Set Theory – An Application of the CloudERP Composition." International Journal of Information and Education Technology , no. : 147-150.

Journal article
Published: 01 January 2013 in International Journal of e-Education, e-Business, e-Management and e-Learning
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ACS Style

Wen-Yau Liang. The Genetic Algorithm Incorporates with Rough Set Theory—An Application in Marketing. International Journal of e-Education, e-Business, e-Management and e-Learning 2013, 1 .

AMA Style

Wen-Yau Liang. The Genetic Algorithm Incorporates with Rough Set Theory—An Application in Marketing. International Journal of e-Education, e-Business, e-Management and e-Learning. 2013; ():1.

Chicago/Turabian Style

Wen-Yau Liang. 2013. "The Genetic Algorithm Incorporates with Rough Set Theory—An Application in Marketing." International Journal of e-Education, e-Business, e-Management and e-Learning , no. : 1.

Journal article
Published: 29 February 2012 in Computers & Industrial Engineering
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In recent years, the production of electrical and electronic equipment (EEE) has been one of the fastest growing areas of manufacturing. The recent European Community waste EEE directives aim to promote the recycling, reuse and reduction (3R) of such waste. The 3Rs are becoming increasingly important, due to current strict environmental regulations. However, research to enhance 3R-abilities with better design presents some difficulties: there is no present analysis of the impact of each of the 3Rs and analytical methods are often too complicated, so there is a need for practical and simple guidelines. To resolve these issues, this paper presents a novel approach that considers the relationships between product components and identifies the ideal product disassembly pattern and modularity by constructing a component matrix, with regard to product disassembly. The product disassembly, which identifies modules and disassembly pattern, also initiates a strategy to enhance 3R-abilities. Two cases are presented to show the effectiveness of the proposed approach.

ACS Style

Chun-Che Huang; Wen-Yau Liang; Horng-Fu Chuang; Zih-Yu Chang. A novel approach to product modularity and product disassembly with the consideration of 3R-abilities. Computers & Industrial Engineering 2012, 62, 96 -107.

AMA Style

Chun-Che Huang, Wen-Yau Liang, Horng-Fu Chuang, Zih-Yu Chang. A novel approach to product modularity and product disassembly with the consideration of 3R-abilities. Computers & Industrial Engineering. 2012; 62 (1):96-107.

Chicago/Turabian Style

Chun-Che Huang; Wen-Yau Liang; Horng-Fu Chuang; Zih-Yu Chang. 2012. "A novel approach to product modularity and product disassembly with the consideration of 3R-abilities." Computers & Industrial Engineering 62, no. 1: 96-107.

Original articles
Published: 01 October 2011 in International Journal of Systems Science
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Web services are being adopted as a viable means of accessing Web-based applications. Web services are not only used to exchange information between enterprises but also to help software developers provide value-added services for various demands. Web service compositions are synthesised by researchers from elementary Web services, offering the opportunity for service providers and application developers to create value-added services. However, a problem exists in the current distribution process of Web service compositions: the general analysis and selection of services can be overly complex and are completed manually. Therefore, there is a need to manage composite Web services automatically. But the research related to ranking candidate services and selection of optimisation strategies is sparse. Yet, few have been published that consider the constraints of non-functional properties. In this article, a systemic but autonomous composition process has been proposed. This study proposes an evolutionary approach that applies the characteristics of the object-oriented concept of Web services and the genetic algorithm to effectively manage and optimise the Web service composition. It is capable of escaping not only from local optima due to a population-based approach, but also from unbiased nature, which enables it to perform well in a situation with little domain knowledge. In this article, the related literature is reviewed. Then, the Web service composition model incorporated with a genetic algorithm is proposed. Finally, a practical implementation is illustrated and shows a good result in terms of solution quality.

ACS Style

Chun-Che Huang; Wen-Yau Liang; Wei-Che Lee; Yung-Huan Lai. Constrained evolutionary computing approach to Web service compositions. International Journal of Systems Science 2011, 42, 1625 -1638.

AMA Style

Chun-Che Huang, Wen-Yau Liang, Wei-Che Lee, Yung-Huan Lai. Constrained evolutionary computing approach to Web service compositions. International Journal of Systems Science. 2011; 42 (10):1625-1638.

Chicago/Turabian Style

Chun-Che Huang; Wen-Yau Liang; Wei-Che Lee; Yung-Huan Lai. 2011. "Constrained evolutionary computing approach to Web service compositions." International Journal of Systems Science 42, no. 10: 1625-1638.

Journal article
Published: 01 January 2010 in Expert Systems with Applications
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ACS Style

Chun-Che Huang; Wen-Yau Liang; Yu-Hsin Lai; Yin-Chen Lin. The agent-based negotiation process for B2C e-commerce. Expert Systems with Applications 2010, 37, 348 -359.

AMA Style

Chun-Che Huang, Wen-Yau Liang, Yu-Hsin Lai, Yin-Chen Lin. The agent-based negotiation process for B2C e-commerce. Expert Systems with Applications. 2010; 37 (1):348-359.

Chicago/Turabian Style

Chun-Che Huang; Wen-Yau Liang; Yu-Hsin Lai; Yin-Chen Lin. 2010. "The agent-based negotiation process for B2C e-commerce." Expert Systems with Applications 37, no. 1: 348-359.

Journal article
Published: 31 May 2009 in Transportation Research Part E: Logistics and Transportation Review
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This paper proposes the generic label correcting (GLC) algorithm incorporated with the decision rules to solve supply chain modeling problems. The rough set theory is applied to reduce the complexity of data space and to induct decision rules. This proposed approach is agile because by combining various operators and comparators, different types of paths in the reduced networks can be solved with one algorithm. Furthermore, the four cases of the supply chain modeling are illustrated.

ACS Style

Chun Che Huang; Wen Yau Liang; Shian Hua Lin. An agile approach for supply chain modeling. Transportation Research Part E: Logistics and Transportation Review 2009, 45, 380 -397.

AMA Style

Chun Che Huang, Wen Yau Liang, Shian Hua Lin. An agile approach for supply chain modeling. Transportation Research Part E: Logistics and Transportation Review. 2009; 45 (3):380-397.

Chicago/Turabian Style

Chun Che Huang; Wen Yau Liang; Shian Hua Lin. 2009. "An agile approach for supply chain modeling." Transportation Research Part E: Logistics and Transportation Review 45, no. 3: 380-397.

Journal article
Published: 31 December 2008 in Omega
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Evolutionary computing (EC) is comprised of techniques involving evolutionary programming, evolution strategies, genetic algorithms (GA), and genetic programming. It has been widely used to solve optimization problems for large scale and complex systems. However, when insufficient knowledge is incorporated, EC is less efficient in terms of searching for an optimal solution. In addition, the GA employed in previous literature is modeled to solve one problem exactly. The GA needs to be redesigned, at a cost, for it to be applied to another problem. Due to these two reasons, this paper develops a generic GA incorporating knowledge extracted from the rough set theory. The advantages of the proposed solution approach include: (i) solving problems that can be decomposed into functional requirements, and (ii) improving the performance of the GA by reducing the domain range of initial population and constraining crossover using the rough set theory. The solution approach is exemplified by solving the problem of product synthesis, where there is a conflict between performance and cost. Manufacturing or assembling a product of high performance and quality at a low cost is critical for a company to maximize its advantages. Based on our experimental results, this approach has shown great promise and has reduced costs when the GA is in processing.

ACS Style

Wen-Yau Liang; Chun-Che Huang. A hybrid approach to constrained evolutionary computing: Case of product synthesis. Omega 2008, 36, 1072 -1085.

AMA Style

Wen-Yau Liang, Chun-Che Huang. A hybrid approach to constrained evolutionary computing: Case of product synthesis. Omega. 2008; 36 (6):1072-1085.

Chicago/Turabian Style

Wen-Yau Liang; Chun-Che Huang. 2008. "A hybrid approach to constrained evolutionary computing: Case of product synthesis." Omega 36, no. 6: 1072-1085.

Journal article
Published: 08 May 2006 in IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
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At the beginning of the 21st century, the emergence of knowledge management is viewed as a natural evolution. Knowledge management is defined as the formal management of knowledge for facilitating creation, access, and reuse of knowledge, typically by using advanced technology. To be easily communicated and shared, tacit knowledge has to be explicated as explicit knowledge (e.g., in product specification or a scientific formula or production rules); and this explicit knowledge has to be shared as applicable data through the use of information technology. Product design is such a business process that a great part of the design knowledge is often a tacit type, being difficult to share, or available only in forms of natural language documents. However, the expertise recorded in these documents is an essential resource of successful competition in the market. This paper presents a knowledge explication and sharing approach; specifically focusing on the knowledge management of modular product design. The solution approach involves modeling modular products, formulating the explicit knowledge, discovering new design knowledge with data mining, and sharing the knowledge with web services technology. The proposed approach is to be applied to an actual case of motherboard design/assembly in one of the largest PC manufacturing enterprises

ACS Style

Chun-Che Huang; Wen Yau Liang. Explication and sharing of design knowledge through a novel product design approach. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 2006, 36, 426 -438.

AMA Style

Chun-Che Huang, Wen Yau Liang. Explication and sharing of design knowledge through a novel product design approach. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 2006; 36 (3):426-438.

Chicago/Turabian Style

Chun-Che Huang; Wen Yau Liang. 2006. "Explication and sharing of design knowledge through a novel product design approach." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 36, no. 3: 426-438.

Conference paper
Published: 01 July 2000 in IFAC Proceedings Volumes
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ACS Style

Wen-Yau Liang; Chun-Che Huang. Decision support systems in the electronic commerce model development. IFAC Proceedings Volumes 2000, 33, 49 -54.

AMA Style

Wen-Yau Liang, Chun-Che Huang. Decision support systems in the electronic commerce model development. IFAC Proceedings Volumes. 2000; 33 (20):49-54.

Chicago/Turabian Style

Wen-Yau Liang; Chun-Che Huang. 2000. "Decision support systems in the electronic commerce model development." IFAC Proceedings Volumes 33, no. 20: 49-54.