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Article

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Title

Model of integration and cooperation of multi-criteria decision support methods

Authors

[ 1 ] Wydział Techniczny, Akademia im. Jakuba z Paradyża | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2021

Published in

Procedia Computer Science

Journal year: 2021 | Journal volume: 192

Article type

scientific article / paper

Publication language

english

Keywords
EN
  • multi-criteria decision supporthybridization – integrationsynergy of methodsdecision-making dashboard
Abstract

EN The aim of the article was to present the model of integration and cooperation (hybridization) of selected methods of decision support as a specific research procedure. The model is the basis for the construction of the so-called decision-making dashboard, which is the main module of the academic, prototype version of the multi-criteria decision support system – DSS 3.0 [1], [2]. Three methods were hybridized: AHP/ANP and ELECTRE TRI included in the area of multi-criteria decision analysis and the method of identification and econometric evaluation based on multiple regression analysis. Due to the limited volume of the study, the description of the algorithms of these methods was abandoned. The focus was on defining the set of input data common to the above-mentioned methods and on the description of the integration process of the results of the decision analysis obtained with their use, indicating the effects of their synergy. The properties of the model are illustrated on a practical example of employee team assessment (case study). The decision making dashboard provided answers to some interesting questions. How is the ranking of employees shaped? What is the overall assessment of a given employee (or candidate for a position) compared to the results of the entire staff? What is the distribution of the number of assignments of the ranked employees to the established classes (profiles) of multi-criteria assessment? Are the ranking favourites in the group of the highest, average or poorly rated employees? What is the ratio of the level of employees’ remuneration to the ratings obtained in the ranking ?

Date of online publication

2021

Pages (from - to)

3740 - 3750

DOI

10.1016/j.procs.2021.09.148

URL

https://www.sciencedirect.com/science/article/pii/S1877050921018871

Presented on

25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 8-10.09.2021, Szczecin, Poland

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Open Access Mode

open journal

Open Access Text Version

final published version

Release date

09.2021 (Date presumed)

Date of Open Access to the publication

at the time of publication

Ministry points / journal

5

Ministry points / journal in years 2017-2021

5

Ministry points / conference (CORE)

70