The decision-making process is theoretically clearly defined. Generally, it includes the problem identification and analysis, data gathering, goals and criteria setting, alternatives development and optimal alternative choice and its implementation. In practice however, various modifications of the theoretical decision-making process can occur. The managers can consider some of the phases to be...

The purpose of this paper is to present the possibility of replacing physical unit cost in transportation or distribution problems by an aggregate coefficient, getting qualitative and subjective considerations involved. The model for constructing aggregate cost is a two stage multiple attribute decision-making problems. In the first stage supply points, demand points and routes of transportatio...

This paper provides a framework for understanding the explanatory power of intelligent systems. It looks at content-based enhancements, drawn primarily from the Expert Systems literature, interface-based enhancements, and the appropriate selection of an advisory strategy. Such enhancements contribute to explanatory power by increasing system transparency and flexibility, and lead to outcomes su...

The approach taken in this research is to develop a cognitive model of how a human observerr extracts dmcl-The information from a visual display and then uses this perceptual information in a decision-making task. Knowledge ~ e e about this relationship provides information about the occurrence of perceptual events in the course of problemsolving activities, and suggests that perceptual assista...

Decision making involves selection from sets of options based on current evidence about the state of the world and estimates of the value or utility of different outcomes. The neural correlates of evidence assessment that guide simple perceptual judgments are now well understood, and we argue that this process can serve as a simple model for organizing behavioral and neural correlates of decisi...

Nowadays, the problem of the flexibility in any organization has essential importance and the associated investigation with the organizational efficiency and performance is considered. In real-world situation, the process of decision making is often based on linguistic and mental data, so applying fuzzy logic in modeling at this point of view is convenient. In this paper, a fuzzy approach is ap...

In the fuzzy set theory, information  measures play a paramount role in several areas such as decision making, pattern recognition etc. In this paper, similarity measure based on cosine function and entropy measures based on logarithmic function for IFSs are proposed. Comparisons of proposed similarity and entropy measures with the existing ones are listed. Numerical results limpidly betoken th...

supplier selection is one of the most important activities of purchasing departments. this importance is increased even more by new strategies in a supply chain, because of the key role suppliers perform in terms of quality, costs and services which affect the outcome in the buyer’s company. supplier selection is a multiple criteria decision making problem in which the objectives are not equall...

this paper uses integrated data envelopment analysis (dea) models to rank all extreme and non-extreme efficient decision making units (dmus) and then applies integrated dea ranking method as a criterion to modify genetic algorithm (ga) for finding pareto optimal solutions of a multi objective programming (mop) problem. the researchers have used ranking method as a shortcut way to modify ga to d...