Study on Robust Multi Criteria Decision Making for a Selection Problem

Heena Shah, Tomohiro Murata, Evgeny Malamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It is important to make the most efficient business decisions while solving a problem to meet the requirements and to reduce losses. These solutions must be robust, keeping in mind the changes in the requirements and external environment. A robust multi criteria decision making method is proposed. An example of a satellite orbit and launch vehicle selection problem are used as a case study and evaluation of the proposed method is demonstrated.

Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017
PublisherNewswood Limited
Pages970-975
Number of pages6
Volume2228
ISBN (Electronic)9789881404770
Publication statusPublished - 2017 Jan 1
Event2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 - Hong Kong, Hong Kong
Duration: 2017 Mar 152017 Mar 17

Other

Other2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017
CountryHong Kong
CityHong Kong
Period17/3/1517/3/17

Fingerprint

Launch vehicles
Orbits
Decision making
Satellites
Industry

Keywords

  • Entropy weights
  • Robust multi criteria decision making
  • Selection problem
  • VIKOR

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Shah, H., Murata, T., & Malamura, E. (2017). Study on Robust Multi Criteria Decision Making for a Selection Problem. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017 (Vol. 2228, pp. 970-975). Newswood Limited.

Study on Robust Multi Criteria Decision Making for a Selection Problem. / Shah, Heena; Murata, Tomohiro; Malamura, Evgeny.

Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017. Vol. 2228 Newswood Limited, 2017. p. 970-975.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shah, H, Murata, T & Malamura, E 2017, Study on Robust Multi Criteria Decision Making for a Selection Problem. in Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017. vol. 2228, Newswood Limited, pp. 970-975, 2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017, Hong Kong, Hong Kong, 17/3/15.
Shah H, Murata T, Malamura E. Study on Robust Multi Criteria Decision Making for a Selection Problem. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017. Vol. 2228. Newswood Limited. 2017. p. 970-975
Shah, Heena ; Murata, Tomohiro ; Malamura, Evgeny. / Study on Robust Multi Criteria Decision Making for a Selection Problem. Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017. Vol. 2228 Newswood Limited, 2017. pp. 970-975
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