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Journal articles on the topic 'Web-Based Decision Support'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

O'Keefe, Robert M., and Tim McEachern. "Web-based customer decision support systems." Communications of the ACM 41, no. 3 (1998): 71–78. http://dx.doi.org/10.1145/272287.272300.

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2

Bhargava, Hemant K., Daniel J. Power, and Daewon Sun. "Special issue of Decision Support Systems on web-based decision support." Decision Support Systems 43, no. 4 (2007): 1081–82. http://dx.doi.org/10.1016/j.dss.2005.07.006.

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3

Peng, Guang Yu. "Marketing Decision and Decision Support System Design Based on Web." Advanced Materials Research 850-851 (December 2013): 1048–51. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1048.

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This paper analyzes the DSS characteristics about the marketing under the internet as well as the influencing factors of the market decisions, Studying the decision-making functions of marketing decision support system DSS. It proposed the marketing DSS design, logical structure and its implementation based on a data warehouse as the center, online analysis processing and data mining as a means.

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4

Bobosatu, Florin, Luminita Duta, and Florin-Gheorghe Filip. "An Experimental Web - Based Decision Support System." IFAC Proceedings Volumes 43, no. 8 (2010): 43–46. http://dx.doi.org/10.3182/20100712-3-fr-2020.00007.

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5

Stânescu, Ioana A., and Antoniu stefan. "Web-Based Knowledge-Driven Decision Support Systems." IFAC Proceedings Volumes 43, no. 8 (2010): 47–52. http://dx.doi.org/10.3182/20100712-3-fr-2020.00008.

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Karacapilidis, Nikos, and Manolis Tzagarakis. "Web-Based Collaboration and Decision Making Support." International Journal of Web-Based Learning and Teaching Technologies 2, no. 4 (2007): 12–23. http://dx.doi.org/10.4018/jwltt.2007100102.

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Bhargava, Hemant K., Daniel J. Power, and Daewon Sun. "Progress in Web-based decision support technologies." Decision Support Systems 43, no. 4 (2007): 1083–95. http://dx.doi.org/10.1016/j.dss.2005.07.002.

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8

Chang, Chi-Chang, Chuen-Sheng Cheng, and Yeu-Shiang Huang. "A Web-Based Decision Support System for Chronic Diseases." JUCS - Journal of Universal Computer Science 12, no. (1) (2006): 115–25. https://doi.org/10.3217/jucs-012-01-0115.

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Individuals vary in survival chances due to differences in genetics, environmental exposures, and gene-environment interactions. These chances, as well as the contribution of each factor to mortality, change as individuals get older. In general, human physiological systems are constructed by collecting more than one part to perform either single or multiple functions. In addition, the successive times between failures are not necessarily identically distributed. More generally, they can become smaller (an indication of deterioration). However, if any critical deterioration is detected, then th

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Kwon, O. Byung. "Meta web service: building web-based open decision support system based on web services." Expert Systems with Applications 24, no. 4 (2003): 375–89. http://dx.doi.org/10.1016/s0957-4174(02)00187-2.

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10

Ahmad, Fadhilah, A. Noraziah, Suhailan Safei, Azrul Amri Bharun Abi, N. Ahmed Abdalla, and Aznida Hayati Zakaria Mo. "Developmental Issues of Web-based Decision Support System." Journal of Applied Sciences 12, no. 19 (2012): 2059–64. http://dx.doi.org/10.3923/jas.2012.2059.2064.

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11

Marto, Marco, Keith Reynolds, José Borges, et al. "Web-Based Forest Resources Management Decision Support System." Forests 10, no. 12 (2019): 1079. http://dx.doi.org/10.3390/f10121079.

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In this paper, we present a web-based decision support system (DSS)—wSADfLOR—to facilitate the access of stakeholders to tools that may contribute to enhancing forest management planning. The emphasis is on a web-based architecture and a web graphic user interface (wGUI) that may effectively support the analysis of trade-offs between ecosystem services in order to address participatory and sustainable forest management objectives. For that purpose, the wGUI provides remote access to a management information system, enabling users to analyze environmental and biometric data and topological info

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12

Voces-Aboy, Jose, Inmaculada Abia-Llera, Eroteida Sánchez-García, et al. "Web-based decision support toolbox for Spanish reservoirs." Advances in Science and Research 16 (August 8, 2019): 157–63. http://dx.doi.org/10.5194/asr-16-157-2019.

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Abstract. Under the S-ClimWaRe (Seasonal Climate prediction in support of Water Reservoirs management) initiative, a climate service to support decision-making process by water managers in Spanish reservoirs has been developed. It consists in a web-based toolbox jointly designed with stakeholders. The website is organized in two main areas. The first one allows the user to explore, for any water reservoir or grid point over continental Spain, the existing hydrological variability and risk linked to climate variability. This is performed through a set of indicators obtained from time series of

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13

French, Simon, Clare Bayley, and Nan Zhang. "Web-Based Group Decision Support for Crisis Management." International Journal of Information Systems for Crisis Response and Management 1, no. 1 (2009): 41–53. http://dx.doi.org/10.4018/jiscrm.2009010104.

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14

Sanders, Gillian D., C. Greg Hagerty, Frank A. Sonnenberg, Mark A. Hlatky, and Douglas K. Owens. "Distributed Decision Support Using a Web-based Interface." Medical Decision Making 19, no. 2 (1999): 157–66. http://dx.doi.org/10.1177/0272989x9901900206.

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15

Zhang, Yiyang, and Jianxin (Roger) Jiao. "A web-based product portfolio decision support system." International Journal of Manufacturing Technology and Management 11, no. 3/4 (2007): 296. http://dx.doi.org/10.1504/ijmtm.2007.013321.

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16

Raja, Samy, Prasanna Devi S., and Suryaprakasa Rao K. "Web Based Decision Support System for Kidney Exchange." International Journal of Computer Applications 25, no. 8 (2011): 29–37. http://dx.doi.org/10.5120/3051-4154.

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17

Zhu, Xuan, J. McCosker, A. P. Dale, and R. J. Bischof. "Web-based decision support for regional vegetation management." Computers, Environment and Urban Systems 25, no. 6 (2001): 605–27. http://dx.doi.org/10.1016/s0198-9715(00)00033-8.

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18

Violitta, Yesmaya, Ronald Angry, and Hidajat Monica. "Property Exhibition Decision Support System Based on Web Application." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 2 (2018): 766–70. https://doi.org/10.12928/TELKOMNIKA.v16i2.7601.

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Complexity in finding property on property exhibition which consider many related constraints is quite high. Customers need to spend much time to analyse the right property to buy depends on their constraints whether salary, distance to work, facility, etc. According to the problem, this research will collect the information from customer on property exhibition to find out the constraint. Also, this research will focus on design and analyses the decision support system for property exhibition. Software development life cycle that will be used is scrum which is divided into several processes li

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19

Andrews, Steven B., Tyler Drake, William Haslett, and Rajesh Munusamy. "Developing Web-based online support tools: The Dartmouth decision support software." Psychiatric Rehabilitation Journal 34, no. 1 (2010): 37–41. http://dx.doi.org/10.2975/34.1.2010.37.41.

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20

Kumar, Saka Sujith, Uma Shankar Panda, Uma Kanta Pradhan, Pravakar Mishra, and Mallavarapu Venkata Ramana Murthy. "Web-Based Decision Support System for Coastal Water Quality." Journal of Coastal Research 89, sp1 (2020): 139. http://dx.doi.org/10.2112/si89-023.1.

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21

Short, T. H., C. M. Draper, and M. A. Donnell. "WEB-BASED DECISION SUPPORT SYSTEM FOR HYDROPONIC VEGETABLE PRODUCTION." Acta Horticulturae, no. 691 (October 2005): 867–70. http://dx.doi.org/10.17660/actahortic.2005.691.107.

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22

Delaura, Tom, and Gary Fujita. "Web-based Visual Management Systems for Utility Decision Support." Proceedings of the Water Environment Federation 2001, no. 9 (2001): 160. http://dx.doi.org/10.2175/193864701790861136.

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23

Güler, Mehmet Güray, Ebru Geçici, Tuğçe Köroğlu, and Emre Becit. "A web-based decision support system for examination timetabling." Expert Systems with Applications 183 (November 2021): 115363. http://dx.doi.org/10.1016/j.eswa.2021.115363.

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24

Chan, Jonathan H., and Tasanee Limsuwan. "Web-Based Decision Support System for School Meal Planning." International Journal of Information Systems and Social Change 3, no. 1 (2012): 10–21. http://dx.doi.org/10.4018/jissc.2012010102.

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The prevalence of obesity is on the rise among school children globally and recent reports by several institutions have linked this fact to heightened risk from potential chronic diseases such as hypertension, diabetes, and coronary heart disease. Many elementary school students from lower socio-economic groups are especially at risk. Hence it is important for both parents and school officials to understand the benefits of healthy weight and promote suitable changes to the eating habit of children. Acquiring sufficient and appropriate nutrition during childhood will lessen the risk of nutritio

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25

Yesmaya, Violitta, Angry Ronald, and Monica Hidajat. "Property Exhibition Decision Support System Based on Web Application." TELKOMNIKA (Telecommunication Computing Electronics and Control) 16, no. 2 (2018): 766. http://dx.doi.org/10.12928/telkomnika.v16i2.7601.

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26

Molenaar, Keith R., and Anthony D. Songer. "Web-Based Decision Support Systems: Case Study inProject Delivery." Journal of Computing in Civil Engineering 15, no. 4 (2001): 259–67. http://dx.doi.org/10.1061/(asce)0887-3801(2001)15:4(259).

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27

Wang, Wenchao, Yuanlai Cui, Yufeng Luo, Zenghuan Li, and Junwei Tan. "Web-based decision support system for canal irrigation management." Computers and Electronics in Agriculture 161 (June 2019): 312–21. http://dx.doi.org/10.1016/j.compag.2017.11.018.

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28

Paz, Joel O., William D. Batchelor, and Palle Pedersen. "WebGro: A Web-Based Soybean Management Decision Support System." Agronomy Journal 96, no. 6 (2004): 1771–79. http://dx.doi.org/10.2134/agronj2004.1771.

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29

Candea, Ciprian, Gabriela Candea, and F. G. Filip. "iDecisionSupport – a Web-based Framework for Decision Support Systems." IFAC Proceedings Volumes 45, no. 6 (2012): 1117–22. http://dx.doi.org/10.3182/20120523-3-ro-2023.00332.

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30

Yu, Changbin, Fu Ren, Qingyun Du, Zhiyuan Zhao, and Ke Nie. "Web map-based POI visualization for spatial decision support." Cartography and Geographic Information Science 40, no. 3 (2013): 172–82. http://dx.doi.org/10.1080/15230406.2013.807030.

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31

Duguid, Scott, Lilian Edwards, and John Kingston. "A Web-based Decision Support System for Divorce Lawyers." International Review of Law, Computers & Technology 15, no. 3 (2001): 265–79. http://dx.doi.org/10.1080/13600860220108085.

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32

Ayoub, Mohammed A. I. "Critical Success Factors influencing Web-Based Decision Support Systems in Online Shopping Context." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 8, no. 3 (2014): 1364–71. http://dx.doi.org/10.24297/ijmit.v8i3.1950.

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Web-based decision support systems are increasingly used over the past years. However, few studies have been conducted on evaluation of web-based decision support systems especially in the field of online shopping. This paper attempts to explore the critical success factors that influence decision making satisfaction in online shopping context by providing a conceptual model for this purpose. Although there are various factors which contribute in making online shopping decisions but this study focuses on five factors i.e. web site quality, data quality, knowledge management, decision making sa

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33

Rokonuzzaman, Md, Bimal Kumar Pramanik, Md Zafor Sadique, and Md Borak Ali. "A Web-Based Decision Support Systems Framework for Ill-Structured Decision Situations." Journal of Emergency Management and Disaster Communications 02, no. 02 (2021): 129–47. http://dx.doi.org/10.1142/s2689980921500044.

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Decisions and actions in an ill-structured situation often include high-time constraints, lack of information, and poor cognitive efforts. Obtaining the necessary information through an information systems tool is supposed to be the best solution in such situations. To expose the decision situation, this study has taken the fire and civil defense service as the field of study. In exploring the required information resources, elements of the system architecture, and suitability of the proposed system in the current field, this study has resorted to the qualitative approach. To assess the depend

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34

Arvapally, Ravi Santosh, Xiaoqing (Frank) Liu, and Hojong Baik. "Collaborative Air Traffic Decision Support Based on Web-based Intelligent Argumentation." Journal of Information Processing 21, no. 3 (2013): 495–506. http://dx.doi.org/10.2197/ipsjjip.21.495.

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35

Antunes, Francisco, and João Paulo Costa. "Integrating Decision Support and Social Networks." Advances in Human-Computer Interaction 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/574276.

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We elaborate on the shifting of decision support systems towards social networking, which is based on the concepts of Web 2.0 and Semantic Web technology. As the characteristics of the relevant components are different from traditional decision support systems, we present necessary adaptations when adopting social networks for decision support within an organization. We also present organizational obstacles when adopting/using such systems and clues to overcome them.

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36

Yu, Lin, Ping Li, Shu Yang, et al. "Web-based decision aids to support breast cancer screening decisions: systematic review and meta-analysis." Journal of Comparative Effectiveness Research 9, no. 14 (2020): 985–1002. http://dx.doi.org/10.2217/cer-2020-0052.

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Aim: Breast cancer is a leading cause of cancer among women. Because guidelines on screening for breast cancer for certain ages are controversial, many experts advocate the use of shared decision making (SDM) using validated decision aids (DAs). Recent studies have concluded that DAs are beneficial; however, the results have great heterogeneity. Therefore, further studies are needed to improve understanding of these tools. Objective: This systematic review and meta-analysis aimed to investigate the impact of using web-based DAs in women aged 50 years and below facing the decision to be screene

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37

Mohamed, Y.M .Hassan, Sihong Zhu, Weimin Ding, et al. "Implementation Web Decision Support Model for Predicting Performance of Field Machinery Operation (DWDSS)." International Journal of Engineering Works (ISSN:2409-2770) 2, no. 7 (2015): 69–78. https://doi.org/10.5281/zenodo.27266.

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Farm machinery planning, design and operation are complicated undertaking due to time and cost constraint and due to prevalence of complicated interacting and overlapping field operations involving capacity constraints and cooperating units. The classical DSS models that applied in the past to machinery planning and policy analysis as well as to performance assessment and simulation of machinery demand, and supplies are criticized by limitations in programming and the difficulty in manipulation and storing the bulky data usually encountered in machinery records. In contrast by application of a

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38

Das, Abinash. "Effectiveness of Web-Based Decision Making to Deliver Decision-Support Information to Business Analyst using a 'Thin-Client." Technoarete Transactions on Advances in Data Science and Analytics 1, no. 1 (2022): 1–7. http://dx.doi.org/10.36647/ttadsa/01.01.a001.

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The study examines the effectiveness of “web-based decision support systems” on business companies as well as the usage of thin-client in the process. It is identified that the web based DSS process provides essential information and helps the managers to make effective decisions for the companies. On the other hand, a thin client is a computer that runs based on the stored data in a central server instead of a hard disk. The researcher has used methods and techniques to gain knowledge and information about the web-based DSS and thin-client which are discussed in a thematic way. Apart from tha

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39

Putthinoi, Supawadee, Hsiu-Yun Hsu, Li-Chieh Kuo, Napalai Chaimaha, Suchitporn Lersilp, and Autchariya Punyakaew. "A web-based decision support system to support occupational therapy services in promoting active ageing." Journal of Associated Medical Sciences 58, no. 1 (2025): 39–50. http://dx.doi.org/10.12982/jams.2025.006.

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Background: Dealing with the consequences of Thailand’s ageing population is a significant challenge. The growing usage of Information and Communication Technology (ICT) has the potential to support healthy and active ageing. Objective: This study aimed to develop a web-based Decision Support System (DSS) and evaluate its usability. Materials and methods: Research and Development (R&D) was a study design. It was divided into two phases: the development of the web-based DSS and its usability. Results: The web-based DSS was designed under the requirements of the users and comprised seven com

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40

Oikonomou, Panagiotis D., Rumpal Sidhu, Tyler Wible, and Ryan R. Morrison. "R2Cross: A Web‐Based Decision Support Tool for Instream Flows." JAWRA Journal of the American Water Resources Association 57, no. 4 (2021): 652–60. http://dx.doi.org/10.1111/1752-1688.12939.

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41

Kumar, Saurav, Adil N. Godrej, and Thomas J. Grizzard. "A web-based environmental decision support system for legacy models." Journal of Hydroinformatics 17, no. 6 (2015): 874–90. http://dx.doi.org/10.2166/hydro.2015.007.

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An environmental decision support system (EDSS) was designed for the Occoquan system in Northern Virginia, USA. This EDSS is available through the internet using web-browsers, and enables stakeholders to interact with complexly-linked water resources models for the Occoquan system based on seven implementations of HSPF and two implementations of CE-QUAL-W2 software. Using the web-interface of the EDSS, users may delineate land use changes and simulate the water quality impact of such changes by remotely executing the water resources models. The EDSS utilizes a server cluster to share the compu

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42

Xu, He, Yan Xu, Hongpeng Yu, Xunda Lv, and Ozoemena A. Ani. "Web based decision support system for eye movement disorder diagnosis." Intelligent Decision Technologies 10, no. 1 (2016): 59–68. http://dx.doi.org/10.3233/idt-150237.

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43

Zavadskas, Edmundas Kazimieras, Altūras Kaklauskas, and Andrius Gulbinas. "Multiple criteria decision support web‐based system for building refurbishment." Journal of Civil Engineering and Management 10, no. 1 (2004): 77–85. http://dx.doi.org/10.1080/13923730.2004.9636289.

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44

Moynihan, Gary P., and Shaoyi Wang. "Web-based decision support system for integrated supply chain management." International Journal of Logistics Systems and Management 21, no. 3 (2015): 269. http://dx.doi.org/10.1504/ijlsm.2015.069727.

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45

Zavadskas, Edmundas Kazimieras, Altūras Kaklauskas, and Andrius Gulbinas. "MULTIPLE CRITERIA DECISION SUPPORT WEB‐BASED SYSTEM FOR BUILDING REFURBISHMENT." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 10, no. 1 (2004): 77–85. http://dx.doi.org/10.3846/13923730.2004.9636289.

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In order to design and realise an efficient building refurbishment, it is necessary to carry out an exhaustive investigation of all solutions that form it, ie planimetric and volumetric changes, the elimination of building deterioration and obsolescence, the improvement of architectural and aesthetic appearance and indoor environmental quality, etc). The efficiency level of the considered building's refurbishment depends on many factors, including cost of refurbishment, annual fuel economy after refurbishment, tentative pay‐back time, harm to health of the materials used, aesthetics, maintenan

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46

Miller, D. A., M. H. Hall, J. Voortman, and P. J. Kolb. "A Web‐based Decision Support Tool for Forage Species Selection." Crop Management 1, no. 1 (2002): 1–7. http://dx.doi.org/10.1094/cm-2002-1014-01-ma.

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47

Yanie, Ahmad, Abdurrozaq Hasibuan, I. Ishak, et al. "Web Based Application for Decision Support System with ELECTRE Method." Journal of Physics: Conference Series 1028 (June 2018): 012054. http://dx.doi.org/10.1088/1742-6596/1028/1/012054.

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48

Krishnaiyer, Krishnan, and F. Frank Chen. "Web-based Visual Decision Support System (WVDSS) for letter shop." Robotics and Computer-Integrated Manufacturing 43 (February 2017): 148–54. http://dx.doi.org/10.1016/j.rcim.2015.09.016.

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49

Eugene Pereira, Rex. "Factors influencing consumer perceptions of Web‐based decision support systems." Logistics Information Management 12, no. 1/2 (1999): 157–81. http://dx.doi.org/10.1108/09576059910256619.

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50

Xie, Yong, Hongwei Wang, and Janet Efstathiou. "A research framework for Web-based open decision support systems." Knowledge-Based Systems 18, no. 7 (2005): 309–19. http://dx.doi.org/10.1016/j.knosys.2004.12.001.

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