Development of TOPSIS method to solve complicated decision-making problems—An overview on developments from 2000 to 2015
In recent years several previous scholars made attempts to develop, extend, propose and
apply Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for solving …
apply Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for solving …
A state-of the-art survey of TOPSIS applications
M Behzadian, SK Otaghsara, M Yazdani… - Expert Systems with …, 2012 - Elsevier
Multi-Criteria Decision Aid (MCDA) or Multi-Criteria Decision Making (MCDM) methods have
received much attention from researchers and practitioners in evaluating, assessing and …
received much attention from researchers and practitioners in evaluating, assessing and …
[HTML][HTML] Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods
The evaluation of feature selection methods for text classification with small sample datasets
must consider classification performance, stability, and efficiency. It is, thus, a multiple …
must consider classification performance, stability, and efficiency. It is, thus, a multiple …
Explaining decision-making algorithms through UI: Strategies to help non-expert stakeholders
Increasingly, algorithms are used to make important decisions across society. However,
these algorithms are usually poorly understood, which can reduce transparency and evoke …
these algorithms are usually poorly understood, which can reduce transparency and evoke …
A survey of multiple classifier systems as hybrid systems
A current focus of intense research in pattern classification is the combination of several
classifier systems, which can be built following either the same or different models and/or …
classifier systems, which can be built following either the same or different models and/or …
VIKOR technique: A systematic review of the state of the art literature on methodologies and applications
The main objective of this paper is to present a systematic review of the VlseKriterijuska
Optimizacija I Komoromisno Resenje (VIKOR) method in several application areas such as …
Optimizacija I Komoromisno Resenje (VIKOR) method in several application areas such as …
A state of the art literature review of VIKOR and its fuzzy extensions on applications
Multi criteria decision making (MCDM) is one of the research areas of operations research
and management science which has widely studied by researchers and practitioners. It finds …
and management science which has widely studied by researchers and practitioners. It finds …
A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment
Most credit scoring algorithms are designed with the assumption to be executed in an
environment characterized by an automatic processing of credit applications, without …
environment characterized by an automatic processing of credit applications, without …
A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees
Credit ratings are one of the primary keys that reflect the level of riskiness and reliability of
corporations to meet their financial obligations. Rating agencies tend to take extended …
corporations to meet their financial obligations. Rating agencies tend to take extended …
Multi-class misclassification cost matrix for credit ratings in peer-to-peer lending
Online peer-to-peer (P2P) lending is a new form of loans. Different from traditional banks,
lenders provide loans to borrowers directly through P2P platforms. Since many P2P loans …
lenders provide loans to borrowers directly through P2P platforms. Since many P2P loans …