FUZZY-DISTANCE FUNCTION APPROACH FOR MULTIPLE CRITERIA DECISION MAKING
Journal Title: International Journal for Quality Research - Year 2012, Vol 6, Issue 2
Abstract
In this paper, a method for decision making using fuzzy integral and distance function is presented. Case studies of multiple-response process with correlated responses are used to illustrate the effective application of the proposed approach. The efficacy of this method is compared with the existing methods of MCDM like TOPSIS and GRA. The proposed method is robust, requires less information and less complex as compared to many existing methods.
Authors and Affiliations
Mayank Kumar, Prasun Das
ANALYSIS OF THE COMPETENCE GAP AMONG VOCATIONAL SCHOOL GRADUATES IN THE AREA OF SMART SPECIALIZATION IN POLAND
The main goal of the paper is to determine whether there is a gap between the demand for competences of graduates of vocational schools and their supply. The article is composed with several sections. The subsequent part...
The Uncertainties of Environment’s Parameters Measurements as Tolls of the Measurements Quality Improvement
Identification of the noise measuring uncertainties by declared measured values is unconditionally necessary and required by legislative. Uncertainty of the measurements expresses all errors that accrue during the measur...
UTILIZATION OF QUALITY TOOLS: DOES SECTOR AND SIZE MATTER?
This research focuses on the influence of company sector and size on the level of utilization of Basic and Advanced Quality Tools. The paper starts with a literature review and then presents the methodology used for the...
PERCEPTION OF CUSTOMER SATISFACTION AND HEALTHCARE SERVICE QUALITY IN THE CONTEXT OF BANGLADESH
Purpose – Healthcare service quality and customer satisfaction have been a major research issue over the decade. Customer satisfaction has been measured by different researchers under varied environment. As environment v...
ROBUST ALTERNATIVES TO THE TUKEY'S CONTROL CHART FOR THE MONITORING OF THE STATISTICAL PROCESS MEAN
Control Charts are one of the most powerful tools used to detect aberrant behavior in industrial processes. A valid performance measure for a control chart is the average run length (ARL); which is the expected number of...