Erratum to “Interactive multiple criteria decision making based on preference driven evolutionary multiobjective optimization with controllable accuracy, European Journal of Operational Research 216 (2012) 188–199”

2013 ◽  
Vol 226 (1) ◽  
pp. 183
Author(s):  
Ignacy Kaliszewski ◽  
Janusz Miroforidis ◽  
Dmitry Podkopaev
Keyword(s):  
Decision Making ◽  
Multiobjective Optimization ◽  
Operational Research ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Evolutionary Multiobjective Optimization

scholarly journals MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Luis Pérez-Domínguez ◽  
Luis Alberto Rodríguez-Picón ◽  
Alejandro Alvarado-Iniesta ◽  
David Luviano Cruz ◽  
Zeshui Xu
Keyword(s):  
Decision Making ◽  
Multiobjective Optimization ◽  
Fuzzy Set ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Ratio Analysis ◽  
Pythagorean Fuzzy Set ◽  
Decision Making Problem ◽  
Moora Method

The multiobjective optimization on the basis of ratio analysis (MOORA) method captures diverse features such as the criteria and alternatives of appraising a multiple criteria decision-making (MCDM) problem. At the same time, the multiple criteria problem includes a set of decision makers with diverse expertise and preferences. In fact, the literature lists numerous approaches to aid in this problematic task of choosing the best alternative. Nevertheless, in the MCDM field, there is a challenge regarding intangible information which is commonly involved in multiple criteria decision-making problem; hence, it is substantial in order to advance beyond the research related to this field. Thus, the objective of this paper is to present a fused method between multiobjective optimization on the basis of ratio analysis and Pythagorean fuzzy sets for the choice of an alternative. Besides, multiobjective optimization on the basis of ratio analysis is utilized to choose the best alternatives. Finally, two decision-making problems are applied to illustrate the feasibility and practicality of the proposed method.

scholarly journals Multiobjective optimization and decision making in engineering sciences

2021 ◽  
Author(s):  
Jussi Hakanen ◽  
Richard Allmendinger
Keyword(s):  
Decision Making ◽  
Multiobjective Optimization ◽  
Data Science ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Special Issue ◽  
Environmental Aspects ◽  
Effective Combination ◽  
Engineering Sciences ◽  
A Company

AbstractReal-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and environmental aspects increases the complexity of decision making and leads to problems that feature multiple competing criteria. A key challenge in such problems is the identification of the most preferred trade-off solution(s) with respect to the competing criteria. Therefore, the effective combination of data, skills, and advanced engineering and management technologies is becoming a key asset to a company urging the need to rethink how to tackle modern decision making problems. This special issue focuses on the intersection between engineering, multiple criteria decision making, multiobjective optimization, and data science. The development of new models and algorithmic methods to solve such problems is in the focus as much as the application of these concepts to real problems. This special issue was motivated by the 25th International Conference on Multiple Criteria Decision Making (MCDM2019) held in Istanbul, Turkey, in 2019.

scholarly journals MCDM, operational research and sustainable development in the trans-border Lithuanian–German– Polish co-operation

2019 ◽  
Vol 11 (2) ◽  
pp. 7-18 ◽  
Author(s):  
Oleg Kaplinski ◽  
Friedel Peldschus ◽  
Joanicjusz Nazarko ◽  
Arturas Kaklauskas ◽  
Romualdas Baušys
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Operational Research ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Scientific School ◽  
Scientific Achievements

Abstract The article presents a description of scientific achievements concerning Multiple-Criteria Decision-Making (MCDM) methods attained as part of the cooperation between scientific centres of Lithuania, Germany and Poland with a special emphasis on the input by Professor Edmundas K. Zavadskas and his scientific school. The cooperation, which commenced in 1986, focused on “Colloquia” — the systematic, international scientific seminars. The article aimed to summarise and popularise the achievement of these “Colloquia” in the area of MCDM as well as spotlight the outstanding theoretical and application significance of accomplishments by Prof. Zavadskas. Also, the work presents the most recent MCDM methods developed by Prof. Zavadskas that improve the accuracy of calculations and extend the area of their application.

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