An integrated interactive menu driven software MCDMGDSS was developed to consider multicriterion analysis in group decision making environment. The capability of MCDMGDSS is demonstrated with the case study of Chaliyar river basin planning problem, Kerala, India to find the most suitable configuration of the reservoirs. Eight alternatives are analysed with respect to six noncommensurable discre...

investigation of desertification trend requires an understanding of phenomena that create changes singly or action and reaction together in an area that these changes were led to the desertification and land degradation. in the investigation of pedological criterion affecting on land degradation in alluvial fans, first, the map of units was created by overlaying and crossing maps of slope class...

pedological criterion affecting desertification in alluvial fans was investigated, for which the map of units was prepared by crossing maps of land use, geology, slope classes and grid layer created by the extension of et geo-wizards in arcgis 10.3. three indices of salinity, erodibility, and permeability of soil were considered and classified. weights of criteria and consistency ratio were cal...

energy is a critical factor to obtain a sustainable development for countries and governments. selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. in this paper, an integrated multi-criteria decision-making (mcdm) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. then a roadmap has been cr...

The increasing complexity of modern computer systems emerges as a real challenge for both the users and the designers. According to the innovative vision of Organic Computing systems, the system components will profit from their autonomy to perform a self-organization, and subsequently, to reach a high degree of adaptivity. The goal of this thesis is to investigate the vision of Organic Computi...

abstract— in this paper, a new extended method of multi criteria decision making based on fuzzy-topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. using a new index leads to procedure for choosing fuzzy ideal and negative ideal solutions directly from the fuzzy data observed alternatives.in this...

technology selection is an important part of management of technology. recently karsak and ahiska (2005) proposed a novel common weight multiple criteria decision making (mcdm) methodology for selection of the best advanced manufacturing technology (amt) candidates based on a number of attributes. however, amin et al. (2006), by means of a numerical example demonstrated the convergence difficul...

Some relatively easy techniques exist to improve the risk picture/profile to aid in preventing losses. Today with the advent of computer system resources, focusing on specific aspects of risk through systematic scoring and comparison, the risk analysis can be relatively easy to achieve. Techniques like these demonstrate how working experience and common sense can be combined mathematically into...

An important focus in current research on decision support systems (DSS) is the design of flexible environments to facilitate and support learning about the problem domain by the user. This research uses case-based reasoning to present a symbiotic DSS in which both the user and the DSS learn from each other. The user learns from the DSS (from stored prior problem solutions) and the system learn...

In this paper we show how the Belief-Function based Technique for Order Preference by Similarity to Ideal Solution (BF-TOPSIS) approach can be used for solving non-classical multi-criteria decisionmaking (MCDM) problems. We give simple examples to illustrate our presentation.