it stand for Technique For Order preference BY Similarity to Ideal Situation
The principle behind TOPSIS is simple: The chosen alternative should be as close to the ideal solution as possible and as far from the negative-ideal solution as possible. The ideal solution is formed as a composite of the best performance values exhibited (in the decision matrix) by any alternative for each attribute. The negative-ideal solution is the composite of the worst performance values. Proximity to each of these performance poles is measured in the Euclidean sense (e.g., square root of the sum of the squared distances along each axis in the "attribute space"), with
optional weighting of each attribute.
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The Rational Decision-Making Model is a process for making logically sound decisions. The model comes from Organization behavior.MethodThe Rational Decision Making Model is a model which emerges from Organizational Behavior. The process is one that is logical and follows the orderly path from problem identification through solution. The Rational Decision Making Model is a seven step model for making rational and logical reasons.This method would evidently not be used for every decision within the everyday operations of an organization. However, the method would be applicable to major efforts within the problem solving and solution finding area such as team efforts and project management (as an example).For the source and more detailed information concerning this subject, click on the related links section (Answers.com) indicated below.
1. Think "What will the result be if I do this?" 2. Have other options and decide with makes you happiest. 3. Make a list in your mind about whats good and whats bad about the decision you're about to make. 4. Make sure you're ready for it. 5. You will have you're result!
Qualitative research is a Field of inquiring applicable to many disciplines and subject mater. - Qualitative researchers aim to gather in depth understanding of human behavior - aQualitative method investigates the why and how of decision making.
The analog method is a difficult way of making a weather forecast. It requires the forecaster to remember a previous event that should mimic an upcoming event.
The simplex method is important because it provides a systematic approach to solving linear programming problems, which are common in optimization across various fields such as economics, engineering, and logistics. It efficiently finds the best outcome, such as maximum profit or minimum cost, by navigating through the vertices of the feasible region defined by constraints. Understanding the simplex method equips individuals with powerful tools for decision-making and resource allocation in complex scenarios. Additionally, it serves as a foundation for more advanced optimization techniques.