Group decision making methods such as Multi-Criteria Decision Making (MCDM) have been developed extensively, but their organizational use for group decision making has been difficult. According to Arrow’s Impossibility Theorem, one possible reason is that a group decision outcome could never satisfy every decision maker’s individual preference. This paper proposes a fuzzy GSS (Group Support Sys...

The multi-attribute group decision making (MAGDM) problem has received considerable attention in the decision analysis field and fruitful achievements have been reported in the literature. This paper focuses on the MAGDM in which the subjective absolute judgement on alternatives with respect to evaluating attributes are represented by fuzzy numbers. This paper employs the consensus degree to me...

Site selection for sitting of urban activities/facilities is one of the crucial policy-related decisions taken by urban planners and policy makers. The process of site selection is inherently complicated. A careless site imposes exorbitant costs on city budget and damages the environment inevitably. Nowadays, multi-attributes decision making approaches are suggested to use to improve precision ...

The sensitivity analysis for multi-attribute decision making (MADM) problems is important for two reasons: First, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. Second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

This work presents a new fuzzy multiple attributes decision-making (FMADM) approach, i.e., fuzzy simple additive weighting system (FSAWS), for solving facility location selection problems by using objective/subjective attributes under group decision-making (GDM) conditions. The proposed system integrates fuzzy set theory (FST), the factor rating system (FRS) and simple additive weighting (SAW) ...

Available online 25 November 2010

Data mining is a collection of analytical techniques to uncover new trends and patterns in massive databases. These data mining techniques stress visualization to thoroughly study the structure of data and to check the validity of the statistical model fit which leads to proactive decision making. Discriminant analysis is one of the data mining tools used to discriminate a single classification...

this paper presents a multi-attribute decision-making model to rank and select the best zones of the city of tehran in order to add new emergency services. the purpose of this decision-making problem is to prioritize the zones having a higher need to emergency services, so that the emergency services to people in different zones get optimized. a multi-criteria decision making model is presented...