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This paper is to study the evolution of herding behaviors in public opinion propagation and present an analysis of the general rules of herding behaviors using an evolution model of herding behavior in public opinion propagation. Through the behavior spreads among decision making individuals, this paper described the process of herding behavior in public opinion propagation from the perspective of...
Promoting self-aware autoscaling to intelligently handle the dynamics and uncertainty of changing workloads, configurations, and demands on resources at runtime can facilitate more scalable, elastic, and dependable cloud-based services.
Moral judgements are a complex phenomenon that have gained a renewed interest in the research community. Many have proposed explanations for moral judgements, including utilitarian accounts and the Principle of Double Effect. Some also advocate for the critical role of emotional processes like empathy. However, developing a computational model of moral judgements is rare perhaps due in part to the...
While it has been well established that affect influences judgments and decision-making, few computational models of the phenomenon exist. The work I have done and propose focuses on the role of affect in complex decision-making or judgment tasks where a pure utilitarian approach does not reflect human behavior. It is especially challenging to develop models that can predict choices made by an individual...
The paper delves into decision making with partial knowledge focused on students' behaviour in multiple-choice testing. To address to this problem, we first provided a binary knowledge model and, then, relaxing some assumptions, allowed for the more realistic framework of partial knowledge which, in turn, adds uncertainty to the assessment of students' knowledge due to their incentive to make a guess...
Probabilistic real-time systems have a difficult controlling management, because of their random behaviors and quantitative operations. So, the procedure of system behavior will changed any time. Adding a probable factor can effect on some systematic problems such as fairness, deadlock and starvation in a probabilistic real-time system. In this paper, we study on a new probable decision making approach...
In line with empirical evidence from seminal research, we assume that emotions and social norms play a key role in consumers' decisions. To this end, we develop a socio-cognitive agent to examine the psychological and sociological factors influencing consumer decision-making. The underlying assumptions are operationalized in a decision model that integrates motivation, emotion, and normative mechanisms...
A substitution network is a temporary network that self-deploys to dynamically replace a portion of a damaged infrastructure by means of a fleet of mobile routers. Some efficient solutions deploy robots based on active measurements. A robot/node in the network may use active link monitoring to assess the link quality towards its neighbors through the use of probe packets. Such probe packets are sent...
We study risk-averse multi-armed bandit problems under different risk measures. We consider three risk mitigation models. In the first model, the variations in the reward values obtained at different times are considered as risk and the objective is to minimize the mean-variance of the observed rewards. In the second and the third models, the quantity of interest is the total reward at the end of...
The recently proposed hesitant fuzzy linguistic terms sets (HFLTSs) are utilized to represent the expert's subjective preferences in a linguistic preference relation and therefore a hesitant fuzzy linguistic preference relation (HFLPR) is constructed. This paper aims to present a consensus process to assist the experts in achieving a predefined consensus level in the case of HFLPRs. A possibility...
Many organizations with an IT infrastructure consisting of a combination of hardware and software, look for ways to achieve greater efficiencies, cost-savings associated with maintenance and upkeep, ease of use, while maintaining a great level of security. The main idea behind this research paper is to better understand the decision-making process with respect to how an IT organization evaluates its...
This paper presents a proposal for solving linear programming problems whose technological parameters are defined by multiple experts using Interval Type-2 Fuzzy numbers. To reduce the complexity of solving this kind of problems, we propose to use the centroids of the technological parameters and then solve the resultant interval optimization problem. We also compare the results of our proposal to...
Emotions govern all the human actions and play a key role in decision-making processes. Capturing sentiments and opinions hidden in the written (natural) language is a key activity which attracts both the scientific community, by leading to many novel challenges, and the business world, by supporting market behavior and prediction. Sentiment analysis and Sentic Computing are two interrelated research...
Decision making has become a core research area in different fields such as evaluation, engineering, medicine, etc. Usually, decision making problems are defined in contexts with vague and imprecise information. The use of linguistic modeling has provided successful results in decision making problems. However, most of the linguistic approaches are limited, because they restrict the elicitation of...
As modern computing relies more and more on distributed solutions of services and resources over the cloud, the need of potential users to assess whether the transition from traditional software systems to the cloud would be to their benefit becomes even greater. Cloud vendors also seek ways to study beforehand the behavior of potential users with respect to their decision to adopt the cloud environment...
Information aggregation is a key task in any group decision making problem. In the fuzzy linguistic context, when comparing two alternatives, it is usually assumed that assessments belong to linguistic term sets of symmetrically distributed labels with respect to a central label that stands for the indifference state. However, in practice there are many situations whose nature recommends their modelling...
In this paper, we investigate the multiple attribute group decision making (MAGDM) problems based on grey system theory and utility theory to accommodate situations where attribute values take the form of interval type-2 fuzzy sets (IT2FSs). Motivated by the idea of grey incidence analysis theory, we propose two new grey incidence degrees for aggregating the uncertain information and further extend...
In this paper, a novel consensus model for group decision making based on discrete fuzzy numbers is proposed. The experts express their preferences over the alternatives by means of the so-called subjective linguistic preference relations, which allow a greater flexibility of the experts' opinions. The model consisting of a consensus and a selection phases is able to achieve the consensus without...
Today, High Performance Computing clusters (HPC) are an essential tool owing to they are an excellent platform for solving a wide range of problems through parallel and distributed applications. Nonetheless, HPC clusters consume large amounts of energy, which combined with notably increasing electricity prices are having an important economical impact, forcing owners to reduce operation costs. In...
Uncertainty, hesitation and vagueness are inherent to human beings when articulating opinions and preferences. Therefore in decision making situations it might well be the case that experts are unable to express their opinions in an accurate way. Under these circumstances, various families of preference relations (PRs) have been proposed (linguistic, intuitionistic and interval fuzzy PRs) to allow...
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