The area of assets Prognostics and Health Management (PHM) represents a promising application field for Soft Computing (SC), an area that provides a broad repertoire of techniques for solving requirements of typical P...
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ISBN:
(纸本)9789812799463
The area of assets Prognostics and Health Management (PHM) represents a promising application field for Soft Computing (SC), an area that provides a broad repertoire of techniques for solving requirements of typical PHM problems. To better understand these requirements, we leverage a decision-making framework, composed by the cross product of the decision's time horizon and domain knowledge used by SC models. We use this framework to analyze how SC is used to perform anomaly detection, anomaly identification, failure mode analysis (diagnostics), estimation of remaining useful life (prognostics), on-board control, and off board logistics actions. We illustrate this concept with a case study in anomaly detection, based on different SC technologies.
Road safety performance indicators have recently been proposed as a useful instrument in comparing countries on their performance of road safety risk factors. New insights can be gained in case one road safety index i...
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ISBN:
(纸本)9789812799463
Road safety performance indicators have recently been proposed as a useful instrument in comparing countries on their performance of road safety risk factors. New insights can be gained in case one road safety index is composed of all risk indicators. The safety performance can be evaluated, countries can be ranked, trends identified and the impact of measures assessed. However, the aggregation process is still unclear in this context. In this paper, the use of ordered weighted averaging (OWA) operators will be experimented for an evaluation of road safety performance indicators. More specifically, several basic and more advanced aggregation operators will be applied to our indicator data set and the final index scores are then compared to the number of road fatalities per million inhabitants. It is demonstrated that compensation should not be allowed too much in the road safety context. All indicators should be incorporated in the final index to some extent and weaker performances should be stressed more.
This paper proposes a linguistic performance appraisal from a competency management perspective, where there are different sets of reviewers taking part in the evaluation process that have a different knowledge about ...
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ISBN:
(纸本)9789812799463
This paper proposes a linguistic performance appraisal from a competency management perspective, where there are different sets of reviewers taking part in the evaluation process that have a different knowledge about the evaluated employees. The reviewers can express their assessments in different linguistic domains according to their knowledge. The proposed method will conduct each linguistic label provided by reviewers as a fuzzy set in the common domain to compute collective assessments that will allow to the management team to make their decisions about employees.
This paper explores the relationship between object level intuitionistic fuzzy sets and predicate based intuitionistic fuzzy sets. Mass assignment uses a process called semantic unification to evaluate the degree to w...
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ISBN:
(纸本)9789812799463
This paper explores the relationship between object level intuitionistic fuzzy sets and predicate based intuitionistic fuzzy sets. Mass assignment uses a process called semantic unification to evaluate the degree to which one set supports another. Intuitionistic fuzzy sets are mapped onto a mass assignment framework and the mass assignment semantic unification operator is generalised to support both mass assignment and intuitionistic fuzzy sets. Transfer of inconsistent and contradictory evidence is also dealt with. As a consequence, by conjoining the mutual semantic unification of two sets a similarity measure emerges.
In this paper we consider the problem of how to derive mass functions systematically from data samples, and the ensuing problem of how to combine different mass functions thus derived. We show that a mass function can...
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ISBN:
(纸本)9789812799463
In this paper we consider the problem of how to derive mass functions systematically from data samples, and the ensuing problem of how to combine different mass functions thus derived. We show that a mass function can be efficiently, systematically derived from multivariate data space. We also show that combining mass functions thus derived appears trial, but this approach opens door for a potentially completely new rule for combining mass functions.
In this paper we present a decision support system for primary action of international organizations devoted to natural disaster relief In particular, we pretend to build up an expert system that taking into account p...
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ISBN:
(纸本)9789812799463
In this paper we present a decision support system for primary action of international organizations devoted to natural disaster relief In particular, we pretend to build up an expert system that taking into account past experiences will help decision makers, mainly non-governmental organizations, to start or not an operation, depending on the place and the very first information about a possible natural disaster. The relevance of this issue is extreme, since such a decision must be taken as soon as possible.
There are several studies in the literature that assumes fuzzy demands in supply chain or production planning models but most of them do not mention about how to derive the fuzzy demands from statistical and judgmenta...
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ISBN:
(纸本)9789812799463
There are several studies in the literature that assumes fuzzy demands in supply chain or production planning models but most of them do not mention about how to derive the fuzzy demands from statistical and judgmental forecasts. In this study we propose a methodology to aggregate the forecasts coming based on different sources;namely statistical methods as well as the experts judgments, and to obtain an aggregated demand forecast that is represented by a possibilistic distribution. Results of the statistical and judgmental forecasts are represented by triangular possibilistic distributions. Subsequently, those results are combined by using weights of each input forecast. An illustrative example is also provided.
This article presents new stabilization conditions for discrete Takagi-Sugeno (T-S) systems by using the sum of squares (SOS) decomposition. These conditions are stated in terms of linear matrices inequalities (LMIs) ...
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ISBN:
(纸本)9789812799463
This article presents new stabilization conditions for discrete Takagi-Sugeno (T-S) systems by using the sum of squares (SOS) decomposition. These conditions are stated in terms of linear matrices inequalities (LMIs) and they are more relaxed than previous works. They have been applied to an example which gives proof of their less conservative behavior.
This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Genetic Algorithms (GA) that obtains a feasible and optimal 3-D path for the UAV. It uses 9 different objective values which are calculated ...
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ISBN:
(纸本)9789812799463
This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Genetic Algorithms (GA) that obtains a feasible and optimal 3-D path for the UAV. It uses 9 different objective values which are calculated with a realistic model of the UAV and the environment and which are structured with 3 levels of priorities. Our planner works globally offline as well as locally online, which means that the algorithm can recalculate parts of the generated path in order to avoid unexpected risks. Finally, the effectiveness of the solutions given by this planner has been successfully tested against a simulator that contains the complete model of the UAV and the environment.
In this paper, we develop a linear programming technique for multidimensional analysis of preference (LINMAP) method for solving multiattribute group decision making (MAGDM) problems with preference information on alt...
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ISBN:
(纸本)9789812799463
In this paper, we develop a linear programming technique for multidimensional analysis of preference (LINMAP) method for solving multiattribute group decision making (MAGDM) problems with preference information on alternatives in fuzzy environment. Our aim is to develop a fuzzy LINMAP model to evaluate and to select of a waste treatment strategy for electrical and electronic equipments (EEE). EEE have already begun to accumulate at the garbage dumps. This garbage accumulation brings big danger to the environment and to the human health. That's why we should look for exploring the ways to dispose of these wastes. Waste treatment strategies contribute also to either local or global economies by creating a new sector and employment, and by reducing use of scarce resources.
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