2014
DOI: 10.1016/j.procs.2014.05.477
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Asset Management of Vehicles: A Practical Application of the Logic Scoring of Preference Method of Optimizing Programmatic Investment Decisions in a Performance based System

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Cited by 4 publications
(2 citation statements)
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“…Likewise, vehicle allocation management can be modeled to identify the best and worst vehicles of a fleet based on their mission, age, fuel type, miles per gallon, and cumulative mileage together with a life-cycle cost analysis for each vehicle. This might finally allow the application of the Logic Scoring of Preference methodology to the asset management of a vehicle fleet, comparing all the vehicles before making decisions [112].…”
Section: Big Data and Mobility As A Service (Maas)mentioning
confidence: 99%
“…Likewise, vehicle allocation management can be modeled to identify the best and worst vehicles of a fleet based on their mission, age, fuel type, miles per gallon, and cumulative mileage together with a life-cycle cost analysis for each vehicle. This might finally allow the application of the Logic Scoring of Preference methodology to the asset management of a vehicle fleet, comparing all the vehicles before making decisions [112].…”
Section: Big Data and Mobility As A Service (Maas)mentioning
confidence: 99%
“…This is the process of finding a minimal set of consistent rules that characterize the system. This process is very important since it constitutes the problem-symptom relationship of the system and this is the basis of the values for the quandary weighting algorithm using Logic Scoring of Preference [24,25,26]. The pseudo-code presented in Fig.…”
Section: Rule Extraction Algorithmmentioning
confidence: 99%