The TOPSIS process is one of the most comprehensive systems designed for decision making with multiple criteria, since this technique enables formulation of the problem as decision matrix, as well as the possibility of considering different quantitative and qualitative criteria in the problem. Fuzzy TOPSIS methods have been introduced to make fundamental decisions that make decisions decisions ...

The present study was carried out to evaluate three interpolation methods including weighted moving average (WMA) with the power of 2 and 3, Kriging and Cokriging methods. Data of 23 wells in Mazandaran province were collected in fall and spring 2006. Seven parameters including electrical conductivity (EC), pH, total dissolved solids (TDS), sodium adsorption ratio (SAR), total hardness (TH), ch...

the purpose followed in this study was to utilize the modern model method of spatial multi-attribute decision making (madm) to provide a comprehensive model for priority classification of vulnerable to drought area in the basin of gavkhouni. the main preference of this method over other methods is that in addition to making use of the geographical data the judgment of decision makers is also ma...

This paper presents a new mathematical model for a hybrid flow shop scheduling problem with multiprocessor tasks in which sequence dependent set up times and preemption are considered. The objective is to minimize the weighted sum of makespan and maximum tardiness. Three meta-heuristic methods based on genetic algorithm (GA), imperialist competitive algorithm (ICA) and a hybrid approach of GA a...

decentralization allows channel members to make their decisions, independently. in this decentralized channels, members may have different power to make its decisions. hence, decisions of each member may influence on the other members’ decisions. to model such situations, bi-level programming models are useful. in this study, a supply chain including one manufacturer and multiple competitive re...

We introduce two methods for approximation to distribution of weighted sum of chi-square random variables. These methods can be more useful than the known methods in literature to transform chi-square type chance constrained programming (CCP) problem into deterministic problem. Therefore, these are compared with Sengupta (1970)’s method. Some examples are illustrated for the purpose of comparin...

The problem of aggregating multiple criteria to form overall objective functions is of considerable importance in many disciplines. The most commonly used aggregation is based on the weighted sum. The ordered weighted averaging (OWA) aggregation, introduced by Yager, uses the weights assigned to the ordered values (i.e. to the worst value, the second worst and so on) rather than to the specific...

Civil engineering protection works mitigate natural risks in mountains, such as torrents. Analysing their effectiveness at several scales is an essential issue in the risk management. Based on expert knowledge, used methods have been developed under risky environment. However, decision is made under uncertainty because of 1) the lack of information and knowledge on natural phenomena and 2) the ...

Many software projects have failed because their requirements were poorly negotiated among stakeholders. Requirements negotiation is more critical than other factors such as tools, process maturity, and design methods. The WinWin negotiation model successfully supports general requirements negotiation. However, making decisions to evaluate alternatives is still an ad-hoc process. This poster pr...

In this paper, we address the problem of comparing the performances of two popular aggregation operators, the weighted sum and the Choquet integral, for selecting the best alternative among a set of alternatives, all evaluated according to different criteria. While the weighted sum is simple to use and very popular, the Choquet integral is still hard to use in practice but leads theoretically t...