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DEX2Web – A Web-Based Software Implementing the Multiple-Criteria Decision-Making Method DEX

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 414))

Abstract

DEX2Web is an online suite of tools to help individuals and groups with their decision-making. DEX2Web implements the qualitative multiple-criteria decision-modelling method DEX. DEX is useful for supporting complex decision-making tasks, where there is a need to select a particular option from a set of possible ones to satisfy the goals of the decision-maker. DEX2Web primarily supports interactive development and evaluation of DEX models. Most of the functionality of the first available version of DEX2Web is inherited from its desktop ancestor DEXi: development of DEX model structure, editing of attributes and their scales, definition of decision rules, multi-attribute evaluation and analysis of alternatives, and presenting evaluation results with charts. DEX2Web has a modern software architecture and employs a newly developed DEX software library. DEX2Web is freely available on https://dex2web.ijs.si/.

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Acknowledgment

The authors acknowledge Jožef Stefan International Postgraduate School, where this work has been conducted, and the Public Scholarship, Development, Disability and Maintenance Fund of the Republic of Slovenia (Contract no. 11011-44/2017-14) that financially supported this research. The authors also acknowledge the financial support from the Slovenian Research Agency (research core funding No. P2-0103).

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Correspondence to Adem Kikaj or Marko Bohanec .

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Kikaj, A., Bohanec, M. (2021). DEX2Web – A Web-Based Software Implementing the Multiple-Criteria Decision-Making Method DEX. In: Jayawickrama, U., Delias, P., Escobar, M.T., Papathanasiou, J. (eds) Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management. ICDSST 2021. Lecture Notes in Business Information Processing, vol 414. Springer, Cham. https://doi.org/10.1007/978-3-030-73976-8_3

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  • DOI: https://doi.org/10.1007/978-3-030-73976-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73975-1

  • Online ISBN: 978-3-030-73976-8

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