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2 Annals of Computer Science and Information Systems

2 2021

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The voter's guide to the galaxy - a multiple-criteria fuzzy decision-support tool for voters and a fresh take on election survey methods

Panzeri Sofia Maria, Stoklasová Jana, Stoklasa Jan

Annals of Computer Science and Information Systems

2021

Vol. 29

7--17

This paper suggests a multiple-criteria decision-support tool for voters, that compares the attitudes of the voters with the declared attitudes of the political parties in several sets of relevant issues. The model intends to identify parties that seem to provide the best fit with the voter attitude-wise. The data input methodology uses discrete 5-point Likert-type scales. We investigate the effect of the inclusion of weights of different sets of issues, of the numerical anchors of the values of the Likert-type scales and also of the potential presence of extremity/leniency effect on the suggestion of the "most compatible'' political party suggestion. We also propose a simple fuzzy-rule based evaluation tool to identify serious incompatibilities or desired compatibilities in the attitudes of the voter and the party to the relevant issues. This tool introduces (un)acceptability thresholds for the differences in attitudes between the parties and the respondents and provides lists of parties to vote for or to avoid voting for accompanied by the strengths of these suggestions. The tool is shown to have several desirable features including lower sensitivity to small differences in the attitudes, respondents' ability to express their preferences and also preventing the compensation of unacceptable differences in some categories of important issues by high compatibility in the other categories.

Interval-valued semantic differential in multiple criteria and multi-expert evaluation context: possible benefits and application areas

Stoklasová Jana

Annals of Computer Science and Information Systems

2021

Vol. 29

53--61

The paper discusses the possibilities of adapting the recently introduced interval-valued semantic differential method to the multiple-criteria decision-making and evaluation context. It focuses on the differences and common ground of the intended use of the original semantic differentiation method and general multiple-criteria evaluation problems. The paper identifies the aspects of the interval-valued modification of the method that can be useful in multiple-criteria evaluation and also aspects that can be beneficial in the multi-expert evaluation setting and also possible limitations stemming from the transition to the multiple-criteria (or multi-expert) evaluation context. Finally the paper suggests potential application areas for the (interval-valued) semantic differential based methods.