Decision Making Approach in Recruitment using Neuro-Fuzzy System

Using Hierarchical Recurrent Neuro-Fuzzy Systems for Decision Making

Over the last years, a number of methods have been proposed to automatically learn and optimize fuzzy rule bases from data. The obtained rule bases are usually robust and allow an interpretation even for data sets that contains imprecise or uncertain information. However, most of the proposed methods are still restricted to learn and/or optimize single layer feed-forward rule bases. The main di...

Decision making on noisy time-series data under a neuro-genetic fuzzy rule-based system approach

This paper reflects our study on the efficiency and the characteristics of a fuzzy rulebased system when used for forecasting in noisy data such as stock market returns for daily decision making. From previous work, we may consider that, such a kind of data is usually distinguished by a stochastic component, and an underlying trend which, exhibits nonlinear dynamic relationship between subseque...

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...

A Fuzzy Decision Making Approach to Enterprise Resource Planning System Selection

Here, we propose a fuzzy analytic hierarchy process (FAHP) method to evaluate the alternatives of enterprise resource planning (ERP) system. The fuzzy AHP approach allows the users get values more accurately to model the vagueness which changes according subjective ideas in the decision-making environment for ERP system selection problem. Therefore, fuzzy AHP method is used to obtain firm decis...

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