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Emergency decision itself is a scientific and complicated process, clarifying scarcity factors' influence on individual decision-making risk behaviors can help decision-making makers make a scientific decision. From scarcity factor in emergency, this study analyzes the decision-making risk behaviors, then puts forward the research hypotheses, Based on the questionnaire data, the research hypotheses...
This paper describes Network Enabled Capability (NEC) within Command & Control (C2) systems. In the first part we present the need to transform military operations of Industrial Age to Information Age military operations and the related NCW (Network Centric Warfare). In the next part of the paper we discuss OODA (Observe, Orient, Decide, Act) Loop as a means of optimizing NEC within Command &...
Linear two-criteria problems of efficiency and risk control are considered. The minimax risk function and the risk function in the polyhedral 1-metric as risk assessment are used. Two-criteria problems are formalized in the form of the sum type convolution of the efficiency and risk criteria and of the ratio type convolution. It is shown that the solutions of the corresponding linear decision-making...
This paper, considering the complexity of university internal governance effect and particularity of the university itself, aims to build a indicator system to evaluate university internal governance effect, using the Grey Multilayer Comprehensive Assessment Method to evaluate this indicator system, whilst applying the Analytical Hierarchical Process (AHP) and Entropy Evaluation Method to define the...
The intuitionistic fuzzy set which is characterized by a membership degree and a non-membership degree, is a very powerful and useful tool to cope with fuzziness and uncertainty. Recently, the Pythagorean fuzzy set which is an extension of the intuitionistic fuzzy set has been introduced. In this paper, we focus on multi-attribute decision making with Pythagorean fuzzy information. First of all, considering...
Supply chain risk management is one of significant issues in the design and operations of supply chains. It is well-known that leader-follower relationship influences the decision making of decentralized supply chains. In this paper, we address a game theoretical analysis of the leadership structure in the decentralized supply chain with risky supplier under demand uncertainty. The risky supplier...
Proactive cognitive agents need to be capable of both generating their own goals and enacting them. In this paper, we cast this problem as that of maintaining equilibrium, that is, seeking opportunities to act that keep the system in desirable states while avoiding undesirable ones. We characterize desirability of states as graded preferences, using mechanisms from the field of fuzzy logic. As a result,...
Due to the rapid growth in scale and complexity of information networks, self-organizing systems have been focused on for realizing new network control architectures that have high scalability, adaptability, and robustness. However, in self-organizing systems, the uncertainty (incompleteness, ambiguity, and dynamicity) of information observable for components in the system can lead to the slow adaptation...
Decisions are often made under risk and a decision-maker's risk preference naturally interferes the decision made. This study analyzes how Brazilians react when they made a decision under risk. The analysis involves the use of lotteries in a smartphone purchase scenario, attempting to identify if specific characteristics of the individuals, such as age, educational level, gender or marital situation,...
In heterogeneous wireless networks, an important task for mobile terminals is network selection. A main challenge of network selection is to represent the uncertainty. Concerning this challenge, we investigate intuitionistic fuzzy multi-attribute decision making (IFMADM) and discuss its application in network selection. Objectively determining attribute weights and aggregating intuitionistic fuzzy...
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]: The strategy of an organization defines its long-term goals and develop plans to achieve these goals. Strategic planning is the activity of deciding how to allocate resources within the organization to satisfy its strategy. Strategic planning precedes more detailed requirements engineering activities that clarify the requirements for the software systems concerned by the strategic...
[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 need to mitigate the effects volatility, uncertainty, complexity, ambiguity characterises the modern project environment. At the project team level, this need requires coordination by competent team members highly proficient in efficient decision-making. Project team members and teams must demonstrate a capacity in adaptability to recognise patterns in a chaotic project situation, modify problem...
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...
In the incomplete information system, no matter which dominance relation is being used to construct a rough set model the results would contain uncertainty. Considering three influence factors include the amount of information, the weight of attribute and the degree of different objects, a new grey dominance relation are defined in this paper. On this basis, a rough decision model is set up. The concept...
In view of dynamic multi-criteria decision-making problems, in which the criteria value of alternatives are three-parameters interval numbers and criteria exists different natural states, a dynamic grey stochastic multi-criteria decision-making method is proposed. According to the stationary distribution thought of Markov chain, the final state of natural possibility is obtained. The time information...
Based on the three-terminal interval number and the project risk theory, this paper discusses the problem of risk weighting in uncertain market decision-making, and puts forward the method of combining the grey system theory and the three-terminal interval number to determine the weight of decision-making. The best-selling weight, the unsalable weight and the normal weight are calculated by expert...
One of the important types of decision-making theory is uncertain decision-making. It is critical to express uncertain information effectively and depose them in reasonable and simple way. Firstly this paper makes a brief overview of the existing method for recording uncertainty information, such as stochastic method, fuzzy mathematics and interval method. Then the conception of grey system theory...
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