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Edmundas Kazimieras Zavadskas   Dr.  Institute, Department or Faculty Head 
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Edmundas Kazimieras Zavadskas published an article in October 2018.
Top co-authors See all
Kannan Govindan

204 shared publications

Centre for Sustainable Supply Chain Engineering, University of Southern Denmark, Odense, Denmark

Samarjit Kar

178 shared publications

Department of Mathematics, NIT Durgapur, Durgapur, India

Dalia Streimikiene

135 shared publications

Lithuanian Institute of Agrarian Economics, V. Kudirkos g. 18-2, 03105 Vilnius, Lithuania

Nicholas Chileshe

75 shared publications

Natural and Built Environments Research Centre, School of Natural and Built Environments, University of South Australia, Adelaide, Australia

Ahmad Jusoh

73 shared publications

Department of Ocean Engineering, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia

106
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316
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Publication Record
Distribution of Articles published per year 
(2004 - 2018)
Total number of journals
published in
 
29
 
Publications See all
Article 0 Reads 0 Citations An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues Indre Siksnelyte, Edmundas Kazimieras Zavadskas, Dalia Strei... Published: 15 October 2018
Energies, doi: 10.3390/en11102754
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The measurement of sustainability is actively used today as one of the main preventative instruments in order to reduce the decline of the environment. Sustainable decision-making in solving energy issues can be supported and contradictory effects can be evaluated by scientific achievements of multi-criteria decision-making (MCDM) techniques. The main goal of this paper is to overview the application of decision-making methods in dealing with sustainable energy development issues. In this study, 105 published papers from the Web of Science Core Collection (WSCC) database are selected and reviewed, from 2004 to 2017, related to energy sustainability issues and MCDM methods. All the selected papers were categorized into 9 fields by the application area and into 10 fields by the used method. After the categorization of the scientific articles and detailed analysis, SWOT analysis of MCDM approaches in dealing with sustainable energy development issues is provided. The widespread application and use of MCDM methods confirm that MCDM methods can help decision-makers in solving energy sustainability problems and are highly popular and used in practice.
Article 0 Reads 0 Citations A new Fuzzy methodology-based structured framework for RAM and risk analysis Dilbagh Panchal, Anupam K. Singh, Prasenjit Chatterjee, Edmu... Published: 01 October 2018
Applied Soft Computing, doi: 10.1016/j.asoc.2018.10.033
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Article 0 Reads 0 Citations Assessment of third-party logistics provider using multi-criteria decision-making approach based on interval rough numbe... Dragan Pamucar, Kajal Chatterjee, Edmundas Kazimieras Zavads... Published: 01 October 2018
Computers & Industrial Engineering, doi: 10.1016/j.cie.2018.10.023
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Article 1 Read 0 Citations Measuring Performance in Transportation Companies in Developing Countries: A Novel Rough ARAS Model Dunja Radović, Željko Stević, Dragan Pamučar, Edmundas Kazim... Published: 25 September 2018
Symmetry, doi: 10.3390/sym10100434
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The success of any business depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction, that is, the ability to properly define a set of success indicators. It is necessary to continuously monitor and measure the indicators that have the greatest impact on the achievement of previously set goals. Regarding transportation companies, the rationalization of transportation activities and processes plays an important role in ensuring business efficiency. Therefore, in this paper, a model for evaluating performance indicators has been developed and implemented in three different countries: Bosnia and Herzegovina, Libya and Serbia. The model consists of five phases, of which the greatest contribution is the development of a novel rough additive ratio assessment (ARAS) approach for evaluating measured performance indicators in transportation companies. The evaluation was carried out in the territories of the aforementioned countries in a total of nine companies that were evaluated on the basis of 20 performance indicators. The results obtained were verified throughout a three-phase procedure of a sensitivity analysis. The significance of the performance indicators was simulated throughout the formation of 10 scenarios in the sensitivity analysis. In addition, the following approaches were applied: rough WASPAS (weighted aggregated sum product assessment), rough SAW (simple additive weighting), rough MABAC (multi-attributive border approximation area comparison) and rough EDAS (evaluation based on distance from average solution), which showed high correlation of ranks by applying Spearman's correlation coefficient (SCC).
Article 1 Read 0 Citations An evaluation model of business intelligence for enterprise systems with new extension of codas (codas-ivif) Jalil Heidary Dahooei, Edmundas Kazimieras Zavadskas, Amir S... Published: 06 September 2018
E+M Ekonomie a Management, doi: 10.15240/tul/001/2018-3-011
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Article 1 Read 1 Citation The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggre... Željko Stević, Dragan Pamučar, Marko Subotić, Jurgita Antuch... Published: 08 August 2018
Sustainability, doi: 10.3390/su10082817
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An adequately functionally located traffic infrastructure is an important factor in the mobility of people because it affects the quality of traffic, safety and efficiency of carrying out transportation activities. Locating a roundabout on an urban network is an imperative for road engineering to address traffic problems such as reduction of traffic congestion, enhancement of security and sustainability, etc. Therefore, this paper evaluates potential locations for roundabout construction using Rough BWM (Best Worst Method) and Rough WASPAS (Weighted Aggregated Sum Product Assessment) models. Determination of relative criterion weights on the basis of which the potential locations were evaluated was carried out using the Rough BWM method. In this paper, in order to enable the most precise consensus for group decision-making, a Rough Hamy aggregator has been developed. The main advantage of the Hamy mean (HM) operator is that it can capture the interrelationships among multi-input arguments and can provide DMs more options. Until now, there is no research based on HM operator for aggregating imprecise and uncertain information. The obtained indicators are described through eight alternatives. The results show that the fifth and sixth alternatives are the locations that should have a priority in the construction of roundabouts from the perspective of sustainable development, which is confirmed throughout changes of parameter k and with comparing to other methods in the sensitivity analysis.
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