Integration of Domain Ontologies in the Repository of Website Evaluation Methods

Ziemba, Paweł; Jankowski, Jarosław; Wątróbski, Jarosław; Wolski, Waldemar; Becker, Jarosław

doi:10.15439/2015f297

Cited by 17 publications

(10 citation statements)

References 34 publications

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“…Moreover, further research ought to deal with the development of an ontology [58] for sustainability decision problems where there is uncertainty of input data relating to the performance of alternatives, weights of criteria and the decision-maker's preferences. Presenting the fuzzy decision problem dealing with sustainability in the form of an ontology would make it possible to infer new knowledge [59,60] from the decision model. Yet another interesting research challenge would be to prepare global sensitivity and uncertainty analyses (GSUA) that can highlight the uncertainty, sensitivity and complexity of the model/data and indicate potential management strategies in relation to the modelled patterns.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Digital Divide Using Fuzzy Forecasting

Ziemba

Becker

2019

Symmetry

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In the countries of the former Eastern Bloc (Central and Eastern Europe) belonging to the European Union, a gradual elimination of the technological gap, greater expenditures, competitiveness and productivity can be noticed. In this context, analysis and forecast of the level of accessibility and use of ICT (information and communication technologies) by households in these countries has become interesting. It allows for the selection of digitally excluded regions, or those threatened with this phenomenon in the coming years (2018–2020). To carry out the analysis, a framework based on fuzzy numbers and the NEAT F-PROMETHEE (New Easy Approach To Fuzzy-PROMETHEE) method was developed. The potential of the fuzzy outranking approach taking into account the uncertainty of input data (criteria and preferences) has been demonstrated as an alternative to the IDI (ICT Development Index) methodology widely used in research on regional ICT development based on composite indices. Research has shown that Estonia is the leader in the area of ICT expansion among households, and in the next three years will definitely maintain its dominant position. Slovenia follows shortly after, followed by Latvia. At the end of the ranking were the countries with the largest percentage in Central and Eastern Europe of population excluded digitally or threatened with this phenomenon; these are: Poland, Slovakia, Bulgaria and, in last place, Romania. Within this framework, the robustness of the obtained rankings to change in the degree of uncertainty of preferences was also examined. It turned out that eliminating the uncertainty of preferences resulted in an increase in the uncertainty of the aggregate, fuzzy grades obtained at the output.

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Section: Discussionmentioning

confidence: 99%

Analysis of the Digital Divide Using Fuzzy Forecasting

Ziemba

Becker

2019

Symmetry

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“…A natural direction of further work is to extend the decision model with other criteria and sub-criteria of evaluating onshore wind farms as well as to include other RES decision problems in the metamodel. Furthermore, an interesting issue would be presenting the decision model in the form of an ontology, what would make it possible to infer new knowledge from the model [104]. It would also be a natural development of the functionality of the model in the direction of an ontological knowledge base.…”

Section: Discussionmentioning

confidence: 99%

Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management

Ziemba

2019

Energies

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Decision problems related to the wind energy require considering many, often interrelated and dependent on each other, criteria. To solve such problems, decision systems based on Multi-Criteria Decision Analysis (MCDA) methods are usually used. Unfortunately, most methods assume independence between the criteria, therefore, their application in decision problems related to the wind energy is debatable. This paper presents the use of the Analytic Network Process (ANP) method to solve a decision problem consisting in selecting the location and design of a wind farm. The use of the ANP method allows capturing the complexity of the decision problem by taking into consideration dependencies between criteria. As part of the verification of the solution, the results of the ANP method were compared with those of the Analytic Hierarchy Process (AHP) method, which uses only hierarchical dependencies between criteria. The conducted verification showed that the inter-criteria dependencies may have a significant influence on the obtained solution. On the basis of the conducted sensitivity analysis and the research into robustness of the rankings to the rank reversal phenomenon, it has been found out that the ranking obtained with the use of the ANP is characterized by a higher quality than by means of the AHP.

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“…The best course of action would be to add criteria and sub-criteria of evaluations of wind farms, as well as other RES factors to the model. It would also be interesting to present the decision model in the form of an ontology [51], which would enable the deduction of new information from the model [52], [53]. The performance of the model would also move in a smoother manner towards the application of DSS in other situations.…”

Section: Discussionmentioning

confidence: 99%

MCDA-based Decision Support System for Sustainable Management – RES Case Study

Wątróbski¹,

Ziemba²,

Wolski³

2016

Annals of Computer Science and Information Systems

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Abstract-The MCDA methods are used in order to solve complex decision-making problems which require considering many interrelated criteria. They are also the basis of DSS. Nevertheless, these dependencies between criteria can have an influence on the obtained solution. A class of decision-making problems, in which there are intercriteria dependencies, are decisions in the sustainability area, e.g. selection of a location and a design of an RES-based power station. The article presents a complex model, taking into consideration dependencies between criteria.

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Integration of Domain Ontologies in the Repository of Website Evaluation Methods

Cited by 17 publications

References 34 publications

Analysis of the Digital Divide Using Fuzzy Forecasting

Analysis of the Digital Divide Using Fuzzy Forecasting

Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management

MCDA-based Decision Support System for Sustainable Management – RES Case Study

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