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A Neutrosophic Extension of the MULTIMOORA Method
Volume 28, Issue 1 (2017), pp. 181–192
Dragisa Stanujkic   Edmundas Kazimieras Zavadskas   Florentin Smarandache   Willem K.M. Brauers   Darjan Karabasevic  

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https://doi.org/10.15388/Informatica.2017.125
Pub. online: 1 January 2017      Type: Research Article      Open accessOpen Access

Received
1 October 2016
Accepted
1 February 2017
Published
1 January 2017

Abstract

The aim of this manuscript is to propose a new extension of the MULTIMOORA method adapted for usage with a neutrosophic set. By using single valued neutrosophic sets, the MULTIMOORA method can be more efficient for solving complex problems whose solving requires assessment and prediction, i.e. those problems associated with inaccurate and unreliable data. The suitability of the proposed approach is presented through an example.

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Biographies

Stanujkic Dragisa
dragisa.stanujkic@fmz.edu.rs

D. Stanujkic is a full-time professor of Information Technology and Decision Sciences at the Faculty of Management in Zajecar, John Naisbitt University, Belgrade. He has received his MSc degree in Information Science and PhD in Organizational Sciences from the Faculty of Organizational Sciences, University of Belgrade. His current research is focused on decision-making theory, expert systems and intelligent decision support systems.

Zavadskas Edmundas Kazimieras
edmundas.zavadskas@vgtu.lt

E.K. Zavadskas is a professor, head of the Department of Construction Technology and Management at Vilnius Gediminas Technical University, Vilnius, Lithuania, and senior researcher at Research Institute of Internet and Intelligent Technologies. He has a PhD in building structures (1973) and DrSc (1987) in building technology and management. He is a member of the Lithuanian and several foreign Academies of Sciences. He is doctor honoris causa at Poznan, Saint Petersburg, and Kiev universities. He is the editor in chief and a member of editorial boards of a number of research journals. He is an author and coauthor of more than 400 papers and a number of monographs. Research interests are: building technology and management, decision-making theory, automation in design and decision support systems.

Smarandache Florentin
fsmarandache@gmail.com

F. Smarandache is a professor of mathematics at the University of New Mexico, USA. He has published many papers and books on neutrosophic set and logic and their applications and has presented to many international conferences. He got his MSc in Mathematics and Computer Science from the University of Craiova, Romania, PhD from the State University of Kishinev, and Post-Doctoral in Applied Mathematics from Okayama University of Sciences, Japan.

Brauers Willem K.M.
willem.brauers@uantwerpen.be

W.K.M. Brauers, doctor honoris causa Vilnius Gediminas Technical University, was graduated as: PhD in economics (un. of Leuven), master of arts (in economics) of Columbia University (New York), master in economics, master in management and financial sciences, master in political and diplomatic sciences and bachelor in philosophy (all in the University of Leuven). He is professor ordinarius at the Faculty of Applied Economics of the University of Antwerp, honorary professor at the University of Leuven, the Belgian War College, the School of Military Administrators and the Antwerp Business School. His scientific publications consist of eighteen books and several hundreds of articles and reports in English, Dutch and French.

Karabasevic Darjan
darjankarabasevic@gmail.com

D. Karabasevic is an assistant professor at the Faculty of Applied Management, Economics and Finance, Business Academy University. He obtained his degrees at all the levels of studies (BSc appl. in Economics, BSc in Economics, Academic Specialization in the Management of Business Information Systems and PhD in Management and Business) at the Faculty of Management in Zajecar, John Naisbitt University, Belgrade. His current research is focused on the human resource management, management and decision-making theory.


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Keywords
neutrosophic set single valued neutrosophic set MULTIMOORA MCDM

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