A Possibility Priority Degree Analyzing Process for Multiple Attributes Decision Making Problems
Mingming Hu,
Xinmiao Ye,
Jibin Lan,
Fang Liu
Issue:
Volume 4, Issue 2, March 2018
Pages:
44-54
Received:
6 December 2017
Accepted:
4 January 2018
Published:
19 January 2018
Abstract: A multiple attributes decision making model is wildly used and studied. The goal of multiple attributes decision making problems is to select a perfect alternative. The existed methods pay attention to rank the alternatives and suggest a best alternative to decision makers. However, there is risk hiding on the priority order. When accepting the order, decision makers undertake the risk at the same time. It is unknown for decision makers. To show the advantages and disadvantages for each alternative, and the risk of a selection, we propose a possibility priority degree analyzing model. With this model, decision makers can be aware of the possibility of priority degree, similar degree and the priority risk, and then make decision. It will effectively reduce the decision risk and improve the decision efficiency.
Abstract: A multiple attributes decision making model is wildly used and studied. The goal of multiple attributes decision making problems is to select a perfect alternative. The existed methods pay attention to rank the alternatives and suggest a best alternative to decision makers. However, there is risk hiding on the priority order. When accepting the ord...
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Business Process Innovation with Artificial Intelligence: Levering Benefits and Controlling Operational Risks
Issue:
Volume 4, Issue 2, March 2018
Pages:
55-66
Received:
1 February 2018
Accepted:
10 March 2018
Published:
10 April 2018
Abstract: Artificial Intelligence (AI) is gaining a strong momentum in business leading to novel business models and triggering business process innovation. This article reviews key AI technologies such as machine learning, decision theory, and intelligent search and discusses their role in business process innovation. Besides discussing potential benefits, it also identifies sources of potential risks and discusses a blueprint for the quantification and control of AI-related operational risk.
Abstract: Artificial Intelligence (AI) is gaining a strong momentum in business leading to novel business models and triggering business process innovation. This article reviews key AI technologies such as machine learning, decision theory, and intelligent search and discusses their role in business process innovation. Besides discussing potential benefits, ...
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