The Decision-Making System for a Multi-Channel Robotic Device Control

Decision making framework for utsourcing activities in the banking system

The outsourcing of financial services has been growing during last decades.Inspite of expanding managers awareness about this subject,most of outsourcing projects have been lost due to qualifative decision critera and ignorance of environmental circumstances. The purpose of research is to design a model for making decision about outaourcing activities in banking system.From the point of purpos...

A Multi-Criteria Decision Making for Location Selection in the Niger Delta Using Fuzzy TOPSIS Approach

Making an informed decision with regards to a suitable business location or site selection for organizations is becoming challenging for business decision makers globally; and even more challenging in business environment that are saddled with uncertainties. The continues raise of multiple criteria variation of site preferences has also necessitated the application of advanced decision making t...

INTUITIONISTIC FUZZY DIMENSIONAL ANALYSIS FOR MULTI-CRITERIA DECISION MAKING

Dimensional analysis, for multi-criteria decision making, is a mathematical method that includes diverse heterogeneous criteria into a single dimensionless index. Dimensional Analysis, in its current definition, presents the drawback to manipulate fuzzy information commonly presented in a multi-criteria decision making problem. To overcome such limitation, we propose two dimensional analysis ba...

Evaluation of recommender systems: A multi-criteria decision making approach

The evaluation and selection of recommender systems is a difficult decision making process. This difficulty is partially due to the large diversity of published evaluation criteria in addition to lack of standardized methods of evaluation. As such, a systematic methodology is needed that explicitly considers multiple, possibly conflicting metrics and assists decision makers to evaluate and find...

A hybrid decision making system using DEA and fuzzy models for supplier selection in the presence of multiple decision makers