Executive summaries of uncertain values close to the gain/loss threshold – linguistic modelling perspective

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F20%3A73600619" target="_blank" >RIV/61989592:15210/20:73600619 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0957417419308255" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0957417419308255</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.eswa.2019.113108" target="_blank" >10.1016/j.eswa.2019.113108</a>

Result language

angličtina

Original language name

Executive summaries of uncertain values close to the gain/loss threshold – linguistic modelling perspective

Original language description

In this paper we propose a novel method for the assessment of linguistic approximation of fuzzy outputs of decision-support and evaluation models in the presence of thresholds. The method provides graphical and numerical summaries of performance of different distance/similarity measures in combination with various linguistic scales in the process of assigning linguistic labels to the outputs of expert systems and decision-support models. We assume the existence of a specific threshold on the output scale that splits the outputs in two categories, i.e. gains/losses, acceptable/unacceptable values, better/worse than aver- age values etc. This way a framing of the outputs can be obtained by labelling them linguistically. We consider numerical outputs in monetary units and assume zero to be the threshold value, splitting the universe into gains and losses. Based on a numerical analysis and yet without the knowledge of the most fitting linguistic label, the proposed analytical method is able to identify the cases where a clearly incorrect label is assigned (a loss label for a gain an/or vice versa) and hence the combinations of linguistic scales and distance/similarity measures of fuzzy numbers not to be used for the given purpose. We can also analyze specific features of some similarity/distance and linguistic scale combinations. The proposed method and its outputs is intended for the design of such expert systems and decision-support models, where a linguistic level of communicating the results to the users of these models is of importance, e.g., for the creation of executive summaries of outputs of mathematical models and results of financial data analyses. The method brings together the mathematical analysis of the linguistic approximation tools and the behavioral aspect of framing of the outputs e.g., as gains or losses prior to the final decision-making step. This way it provides much need guidance for the selection of reasonable distance/similarity mea- sures of fuzzy numbers and reasonable linguistic scale for linguistic approximation. As such it is a useful tool for the design of system-user interfaces including a linguistic level of description.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50204 - Business and management

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

EXPERT SYSTEMS WITH APPLICATIONS

ISSN

0957-4174

e-ISSN

—

Volume of the periodical

145

Issue of the periodical within the volume

May 1

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

113108

UT code for WoS article

000518692500011

EID of the result in the Scopus database

2-s2.0-85076743529