Decision-Making Ontology for Information System Engineering

Kornyshova, Elena; Deneckère, Rébecca

doi:10.1007/978-3-642-16373-9_8

Cited by 30 publications

(23 citation statements)

References 22 publications

(31 reference statements)

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“…On the other hand, in [20] a set of inference rules as well as an ontological representation of the multi-criteria method of AHP were developed. Earlier studies of systematized knowledge about various aspects of decision-making are also presented [21,22]. One of the approaches is founded on using an ontology knowledge model integrating knowledge about a decision-making process [21].…”

Section: Literature Reviewmentioning

confidence: 99%

An Ontology Supporting Multiple-Criteria Decision Analysis Method Selection

Wątróbski

2016

Intelligent Decision Technologies 2016

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In the last few years multiple-criteria decision analysis methods (MCDA) have received more and more attention from researchers. Consequently, the new methods have made it possible to solve a lot of real-world decision problems in the areas of private lives, management practice or science. However, proper selection of a MCDA method reflecting a decision problem and a decision-maker's preferences is a complex and important issue and inappropriate selection of a MCDA method may lead to generating improper recommendation. Therefore, this paper suggests using an ontology as a tool supporting multiple-criteria decision analysis method selection.

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Section: Literature Reviewmentioning

confidence: 99%

An Ontology Supporting Multiple-Criteria Decision Analysis Method Selection

Wątróbski

2016

Intelligent Decision Technologies 2016

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“…However, DM in IS engineering has several lacks: (i) decisions are not formalized in terms of alternatives and criteria, their consequences are not analyzed, decisions are not transparent, (ii) at intuitive and ad hoc decisions overshadow method-based ones, (iii) and there is no tool which covers a complete DM process even if DM tools exist. To overcome these drawbacks, some studies are made, for instance a generic DM process is proposed (Kornyshova 2010) and an ontology of the DM concepts is elaborated (Kornyshova & Deneckère 2010).…”

Section: Related Workmentioning

confidence: 99%

Towards Method Component Contextualization

Kornyshova

Deneckère

Claudepierre

2011

International Journal of Information System Modeling and Design

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Method Engineering (ME) is a discipline which aims to bring effective solutions to the construction, improvement and modification of the methods used to develop Information Systems (IS). Situational Method Engineering (SME) promotes the idea of retrieving, adapting and tailoring components, rather than complete methodologies, to the specific context. Existing SME approaches use the notion of context for characterizing situations of IS development projects and for guiding the method components selection from a repository. However, in the reviewed literature, there is no proposed approach to specify the specific context of method components. This paper provides a detailed vision of context and a process for contextualizing methods in the IS domain. Our proposal is illustrated with three case studies: scenario conceptualization, project portfolio management and decision-making.

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“…• The DM ontology [4] is a representation, shared between researchers and practitioners, of DM concepts, which formalizes DM knowledge.…”

Section: Introductionmentioning

confidence: 99%

Decision-making method family MADISE: Validation within the requirements engineering domain

Kornyshova

Deneckère

2012

2012 Sixth International Conference on Research Challenges in Information Science (RCIS)

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Abstract-Information Systems (IS) engineering (ISE) processescontain steps where decisions must be made. Moreover, the growing role of IS involves requirements for their engineering, such as quality, cost, time, and so on. On the one hand, considering these aspects implies that the number of researches dealing with decision-making (DM) in ISE increasingly grows. On the other hand, many DM methods exist and are applied in several fields of ISE. The main characteristic of these applications is that they resolve one DM problem at a time. We have developed a generic DM approach MADISE, which aims at guiding IS engineers through DM activities. The goal of this paper is to check the completeness and flexibility of MADISE by comparing it with the five well-known requirements prioritization approaches.

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Decision-Making Ontology for Information System Engineering

Cited by 30 publications

References 22 publications

An Ontology Supporting Multiple-Criteria Decision Analysis Method Selection

An Ontology Supporting Multiple-Criteria Decision Analysis Method Selection

Towards Method Component Contextualization

Decision-making method family MADISE: Validation within the requirements engineering domain

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