Liaiig presented a fuzzy multiple criteria decision making (MCDM) method based on the concepts of ideal and anti-ideal points. Despite its merits, Liang method has the following limitations: ( i ) the objective criteria are converted into dimensionless indices and the subjective criteria are not converted, which may prevent compatibility for these criteria, (ii) the formulas for converting obje...

This paper presents an effective decision making framework for software selection in manufacturing industries using a multiple criteria decision making method, Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). The method is improved in the present work by integrating with analytic hierarchy process (AHP) and the fuzzy logic. Fuzzy logic is introduced to handle the i...

Whereas the variable selection has been extensively studied in the context of supervised learning, the unsupervised variable selection has attracted attention of researchers more recently as the available amount of unlabeled data has exploded. Many unsupervised variable ranking criteria were proposed and their relevance is usually demonstrated using either external cluster validity indexes or t...

Recommender systems have been served to assist decision making by recommending a list of items the end users. Multi-criteria recommender system (MCRS) is type which enhance recommendation performance taking user preferences on multiple criteria. Traditional algorithms for MCRS usually predict ratings these criteria, and finally estimate overall rating different aggregation functions. In this pa...

Considering the concept of clustering, the main idea of the present study is based on the fact that all stocks for choosing and ranking will not be necessarily in one cluster. Taking the mentioned point into account, this study aims at offering a new methodology for making decisions concerning the formation of a portfolio of stocks in the stock market. To meet this end, Multiple-Criteria Decisi...

The research objective of the paper is to propose a model, based on Multiple-Criteria Decision-Making (MCDM) methods, that facilitates selection process an adequate strategy directed development e-commerce. For aim, Method Removal Effects Criteria (MEREC) applied for defining criteria weights. recently proposed Comprehensive Distance Based Ranking (COBRA) method used final assessment and rankin...