A Multi-criteria Decision Making Approach and its Applications in Business
We live in a world of information where decision takes a very important role. Human are considered one of the best species since we like to think and quantitatively analysis our decision process based on the available information. But the question may arise:
1. How can we take a right decision or mathematically, optimal solution among the multiple alternatives?
In academic world, this knowledge is known as Multiple criteria decision making (MCDM), that involves to making decisions in the presence of multiple, usually conflicting criteria and alternatives. Multi-Criteria Decision Aid (MCDA) or Multi-Criteria Decision Making (MCDM) methods have successfully utilized by researchers and practitioners in evaluating, assessing and ranking alternatives across diverse business problem. As we know, every decision involves trade-offs between risk and opportunity. So, the next question may arise:
2. How to minimize the risk and define in mathematically for a given business problem?
Many MCDA/MCDM methods developed to solve real-world decision problems, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily across different real business application areas. So, the next comes:
3. How to apply TOPSIS methods to design and solve any practical business problem?
In this session, we will try to understand the theory behind decision science and discuss step by step implementation of business cases in open source environment
The overall objective of the session is how to design decision based on knowledge and planning in business.
Outline/Structure of the Tutorial
2. Decision Theory
3. Mathematics of Risk
4. Multi-Criteria Decision Analysis and application in business
5. Implemetation strtegy in open source enviroment
6. Step to step implementation of two Business case study
1. Enter to the world of decision science.
2. Can Apply Multi-Criteria Decision Analysis to any business decision problem.
3. Can Implement in open source environment.
4. Able to understand concept of risk by implementation of business problem
Decision maker/ Researcher/ Student
Prerequisites for Attendees
schedule Submitted 1 year ago
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