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In a process collaboration, changes rarely confine themselves to a single company, but can spread over the network of partners, resulting in a whole process of negotiation. This paper employs techniques from the domains of multiple criteria decision making (MCDM) and group decision to deal with change negotiation in process collaborations. In particular, it utilizes multi-criteria reasoning to model...
A Reliable power transmission is one of the asset management objective of PLN Trans-JBTB as a Power Transmission Utility. This objective is measured by frequency and duration outages of transmission line and transformer (TLOD, TROD, TLOF, and TROF) that occur every year. In order to improve reliability, fault history data in 2014–2017 is evaluated using FMECA and risk matrix to obtain a failure mode...
The Multi Arm Bandit (MAB) problem is a well-known decision making problem, where the gambler (operator), seeks the highest value and best choice among arms with different reward distributions. In recent years, many effective strategies have been proposed for the mentioned MAB problem. The strategy's procedure mainly includes attempts on acquiring a better exploitation and efficiency, while also maximizing...
Prioritization of non-functional requirements (NFRs) is a research field that needs more attention. We demonstrate ARRoW, a novel approach for automatic runtime reappraisal and update of the weights of NFRs given new evidence collected from the environment during the execution of the system. In this paper, we showcase how ARRoW is used in an substantial industrial case study. Our results shows how...
[Context/Motivation] Decision-making for self-adaptive systems (SAS) requires the runtime trade-off of multiple non-functional requirements (NFRs) and the costs-benefits analysis of the alternative solutions. Usually, it requires the specification of weights for NFRs and decision-making strategies. Generally, these weights are defined at design-time with the support of previous experiences and domain...
The adoption of managerial decisions in quality management is characterized by the need to take into account both the presence of uncertainty and its impact on customer requirements, and the quality assessment as the degree to which the predicted result of innovation meets the expected requirements of consumers. It is proposed to use decision-making methods that do not take into account estimates...
In this paper, we introduce the main concepts of a new maximum livelihood evidential reasoning (MAKER) framework for data-driven inferential modelling and decision making under different types of uncertainty. It consists of two types of model: state space model (SSM) and evidence space model (ESM), driven by the data that reflects the relationships between system inputs and output. SSM is constructed...
The paper presents the approach to web-services selection based on clearly expressed criteria that influence the choice of the appropriate service. Web-services selection is held based on fuzzy preference relations using multi choice alternative method. Evaluation of web-services is carried out based on comparison criteria and utility functions. The decision making process is served by criteria ordered...
For the multi-index decision problem with uncertain information, this paper introduces the definition of interval distance of three-parameter interval grey number, proposes the relative degree of grey incidence based on interval distance of three-parameter interval grey number, constructs the grey incidence decision-making model with three-parameter interval grey number, measures the relative degree...
Wireless sensor network supports reliable monitoring of the given network based upon the data transmitted from the sensors. However, the feasibility can be maintained only when the delivered data are fairly reliable without any damage. Since data error is not an uncommon event in wireless sensor networks, the validity of the decision making strongly depends upon the stableness of the data analysis...
Nowadays, human workload plays an important role in human machine system's reliability and safety area. No matter in driving, flying or other field, excessive workload may lead to the ignorance of key message, which is of importance in mission accomplishment. Traditional research method uses only these quantitative physiological parameters (such as EEG,EMG or eye movement parameters) to monitor the...
Temporal databases are characterized by significant data amount monitored over the time. Such values are stored with regards on validity during the whole time spectrum supporting decision making, reliability definition, analysis, progress monitoring and creating future prognoses. When dealing with various granulairty of changes, management must be shifted into attribute granularity level to remove...
In the complex pattern classification problem, the fusion of multiple classification results produced by different attributes is able to efficiently improve the accuracy. Evidence theory is good at representing and combining the uncertain information, and it is employed here. Each attribute (set) can be considered as one source of evidence (information). In some applications, the observation of target...
Orchestrating holistic school improvement requires school leaders to effectively engage in the tasks of collecting and processing diverse educational data from the school ecosystem, and more importantly, to be able to 'translate' these analyses to specific remedying actions for targeted improvement. However, these processes can be cumbersome, especially given that existing 'School Analytics' methods...
Spatial outlier detection in wireless sensor network (WSN) can detect the objects whose non-spatial attributes are significantly different from their spatial neighbors, so as to ensure the reliability and accuracy of sensor data before decision-making process. The main drawback of existing spatial outlier detection algorithms is high user-dependency, which is not suitable for dynamic WSN data. This...
Multiple Object Association (MOA) is an essential process in making vehicles smarter. It consists in associating newly detected objects to previously known ones at each instant in a scene. To treat such matter, the paper proceeds by the use of the Belief Theory introduced by Dempster-Shafer. A crucial concern in this application is the data association complexity and its relative computation time...
Products arranged in the same zone usually have some spatial correlation, function relation and the impact of environmental stress, which usually causes coupling effect with other products in the same zone. This kind of coupling effect affects products' quality, and may influence the veracity and comprehensiveness of the quality analysis. To solve this issue, starting from changing the traditional...
Combining with the characteristics of smart distribution grid, this paper expounded the architecture, control strategy and key technology of self-healing control in smart distribution grid and proposed the “three-layer with seven-unit” architecture and the option method of control strategy. Combining with the characteristics of smart distribution grid containing distributed power, this paper introduced...
We provide a novel analysis of Wald's sequential probability ratio test based on information theoretic measures for symmetric thresholds, symmetric noise, and equally likely hypotheses. This test is optimal in the sense that it yields the minimum mean decision time. To analyze the decision-making process we consider information densities, which represent the stochastic information content of the observations...
In space business, launch vehicle selection for a satellite is a crucial managerial and technical decision making problem taking into consideration of various qualitative and quantitative factors. The aim of this paper is to solve this complicated supplier selection problem by analyzing several Geostationary Transfer Orbit launch vehicle alternatives, which have very high costs measured in million...
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