Available online at www.sciencedirect.com Procedia - Social and Behavioral Sciences 53 (2012) 106 – 114 SIIV - 5th International Congress - Sustainability of Road Infrastructures Using Decision Trees to extract Decision Rules from Police Reports on Road Accidents López Griseldaa*‚ de Oña Juanb and Abellán Joaquínc a Ph. D. Student. TRYSE Research Group. Department of Civil Engineering‚ University of Granada‚ ETSI Caminos‚ Canales y Puertos‚ c/Severo Ochoa s/n‚ 18071‚ Granada‚ Spain a Ph. D.
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Assignment Form |Course: | Data‚ Model and Decision | |Instructor: | Dr. Feng Haolin | |Homework: |Decision Analysis | |Name: | Group 1. Li Yuechuan/ Pankaj Malhotra/ Liang Yuan/
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Decision Tree A decision tree is a schematic tree shaped diagram which is used to determine a course of action or statistical probability. Each branch of the decision tree represents a possible decision or occurrence. A decision tree is important to use when planning the festival because we be able to see all of the possible outcomes for all of the options before investing and going ahead with them. From the decision tree we will be able to see how much can be made and how much can be lost when investing
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1 PROBABILISTIC APPROACHES: SCENARIO ANALYSIS‚ DECISION TREES AND SIMULATIONS In the last chapter‚ we examined ways in which we can adjust the value of a risky asset for its risk. Notwithstanding their popularity‚ all of the approaches share a common theme. The riskiness of an asset is encapsulated in one number – a higher discount rate‚ lower cash flows or a discount to the value – and the computation almost always requires us to make assumptions (often unrealistic) about the nature of risk
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A M BORISON Applied Decision Analysis. Inc. 27W Sand Hill Road Mcnio Park. California 94025 Oglethorpe Power Corporation (OPC) provides wholesale power to consumer-owned distribution cooperatives in Georgia. Late in 1990‚ OPC managers learned that Florida Power Corporation wanted to expand its connections to Georgia with another transmission line. To decide whether to build this line‚ OPC worked with Applied Decision Analysis‚ Inc. to conduct a comprehensive decision analysis in less than two
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DQ 2 Expected Values and Decision Trees contains: From the end of Chapter 8‚ consider the two capacity options for Arktec manufacturing from Problem 2 and the three possible demand scenarios from Problem 4‚ then complete Problem 5. First‚ draw the decision tree for Arktec Manufacturing. When drawing your tree‚ assume that managers must select a capacity option before they know what the demand level will actually be. Then‚ calculate the expected value for each decision branch. Which option would
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What did you do? To get a deeper insight into creating decision trees on the laptop‚ I started to inform myself about possible supporting tools that can be used. As I am using an Apple MacBook‚ I found out that the software “XMind” cannot just help for drawing decision trees‚ but also for developing flowing charts‚ mind maps or to-do-lists. I thought about using Microsoft Excel as a tool for sorting the data. However‚ I finally looked up the necessary information in the given table without using
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Decision Tree Psy/410 The scenario chosen for this portfolio involves a woman seeking help with her addiction to methamphetamines. She wants to free her life from drugs but does not know how or where to start. Missouri offers several organizations and hotlines to help individuals get clean and sober. Center for addictions‚ SIGMA house‚ and Carol Jones alternative opportunities are all rehabilitation centers that offer both in and outpatient treatment. The Burrell center has a collaboration of
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Merck is a global research-driven pharmaceutical company dedicated to putting patients first. Merck’s highest priority areas are Alzheimer’s disease‚ atherosclerosis‚ cardiovascular disease‚ diabetes‚ novel vaccines‚ obesity‚ oncology‚ pain and sleep disorders. In addition‚ and importantly for licensing‚ the following other areas remain of high interest for focused investment in new compounds and mechanisms: antibiotics‚ antifungals‚ antivirals (HCV and HIV)‚ asthma‚ COPD‚ neurodegeneration‚ ophthalmology
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............9 4. Decision Tree (Manual)…………………………………..10 5. Decision Tree (WinQSB) ………………………………...11 6. Decision Tree Analysis …………………………………..12 7. Explanation of Decision Tree…………………………….13 8. Sensitivity Analysis - Probability of Research Success …14 9. Sensitivity analysis - Selling price of DSS……………....15 10. Utility Decision Tree………………………………….....16 11. Decision Tree Analysis for Utility…………………….....17 12. Utility Graph …………………………………………
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