Evaluation of the Impact of Selected Weighting Methods on the Results of the TOPSIS Technique

R Vavrek - International Journal of Information Technology & …, 2019 - World Scientific
The present research deals with selected multi-criteria methods identified according to
available literature sources as a suitable instrument for the comprehensive evaluation of a …

Fuzzy random regression based multi-attribute evaluation and its application to oil palm fruit grading

A Nureize, J Watada, S Wang - Annals of Operations Research, 2014 - Springer
Multi-attribute decision-making is usually concerned with weighting alternatives, thereby
requiring weight information for decision attributes from a decision maker. However, the …

Attempt to test impact values for multi-indicator systems—exemplified by gender equality

R Bruggemann, L Carlsen - Quality & Quantity, 2021 - Springer
Hasse diagram technique, based on partial ordering is an advantageous method to analyse
complex systems of data such as objects characterized by multi-indicator systems. Beside …

A rough set approach to knowledge discovery in analyzing competitive advantages of firms

Y Li, X Liao, W Zhao - Annals of Operations Research, 2009 - Springer
Competitive advantage analysis (CAA) is still an important issue of strategic management
research. Although many studies are developed on this topic, they remain conceptual and …

Multi-Criteria Analysis as a Tool For Assessment of District Towns

R Vavrek - XXIII. mezinárodní kolokvium o regionálních vědách …, 2020 - ceeol.com
A technique for Order of Preference by Similarity to Ideal Solution is a multi-criteria decision
analysis method used for complex assessment of a set of alternatives. It is often combined …

Theoretical and practical aspects of evolutionary algorithms with application to the partitioning of multivariate self-affine time series

C Taylor - 2019 - repository.essex.ac.uk
This thesis examines certain aspects of the theory and practice of multiobjective evolutionary
algorithms (MOEAs). Firstly a set of theoretical results is developed concerning the operation …

Multi-granular Evaluation Model Through Fuzzy Random Regression to Improve Information Granularity

N Arbaiy, J Watada - Information Granularity, Big Data, and Computational …, 2015 - Springer
Extracting new information through regression analysis is somewhat difficult in environment
which contains fuzzy and random situation; shows simultaneous uncertainty. Given this …

[PDF][PDF] Satisficing-based formulation of fuzzy random multi-criteria programming models in production applications

NB Arbaiy - 2012 - waseda.repo.nii.ac.jp
In practice of various real-life applications, mathematical programming plays a pivotal role in
finding the solution of their optimization problems. Conventionally, mathematical …

[PDF][PDF] Individual Decision Maker

ID Maker - cs.put.poznan.pl
Évoquée dès la fin des années 1960 [5], l'idée de robustesse suscite un intérê t croissant à
la fois de la part des praticiens et des théoriciens. Reflétant initialement une préoccupation …

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