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Edmundas Kazimieras Zavadskas

Researcher at Vilnius Gediminas Technical University

Publications -  688
Citations -  38590

Edmundas Kazimieras Zavadskas is an academic researcher from Vilnius Gediminas Technical University. The author has contributed to research in topics: Multiple-criteria decision analysis & Fuzzy logic. The author has an hindex of 94, co-authored 649 publications receiving 29585 citations. Previous affiliations of Edmundas Kazimieras Zavadskas include University of Tehran & Leipzig University of Applied Sciences.

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Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara)

TL;DR: The new step‐wise weight assessment ratio analysis method (SWARA) allows including experts, lawyers or dispute parties opinion about significance ratio of the attributes in the process of rational decision determination.
Journal Article

The MOORA method and its application to privatization in a transition economy

TL;DR: MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) refers to a matrix of responses of alternatives to objectives, to which ratios are applied, and all alternatives are ranked, according to the obtained ratios.
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Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014

TL;DR: This study reviewed a total of 403 papers published from 1994 to 2014 in more than 150 peer reviewed journals and indicated that, in 2013, scholars have published papers more than other years.
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Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS)

TL;DR: A new method of Evaluation based on Distance from Average Solution (EDAS) is introduced for multi-criteria inventory clas- sification (MCIC) problems and shows that the proposed method is stable in different weights and well consistent with the other methods.
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Optimization of Weighted Aggregated Sum Product Assessment

TL;DR: The aim of the research is to measure the accuracy of the WSM and WPM methods and to propose a method to increase the ranking accuracy of alternatives, to apply joint WASPAS (Weighted Aggregates Sum Product Assessment) method.