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A software ecosystem challenges the architect through additional considerations, because multiple partners with different interests are involved. Therefore, the perspectivesbusiness, organization and high-level architecture need to be taken into account before deriving a detailed software design. In this paper, we present our vision and first results of SECO patterns, which capture solutions for recurring...
A four-echelon closed-loop supply chain: a manufacturer, a distributor, two retailers and a third-party recycler is discussed. By means of game theory, the coordination model with combined contracts is built. The coordination mechanism is discussed and simulated. The result shows that, with the government subsidies, the members of the supply chain can choose the best supply contract and achieve their...
Decision-making methods based on binary comparison in the absence of a priori knowledge of the systematic errors are considered. Using simulation to find the probability characteristics in the conventional form for different distributions of additional error are described. Influence the choice of a threshold level of systematic errors difference in the result of the procedure are studied.
We contribute to the development of a systematic means to infer features of human decision-making from behavioral data. Motivated by the common use of softmax selection in models of human decision-making, we study the maximum-likelihood (ML) parameter estimation problem for softmax decision-making models with linear objective functions. We present conditions under which the likelihood function is...
Ever since the decision to launch the Challenger -- and the deadly explosion that followed -- it has been widely known that "decision failure" can lead to disaster. But despite this awareness and the availability of a wide variety of decision models, we found no single model that adequately describes all the ways that decisions can fail and how flawed decisions contribute to mishaps. In...
With economics developing rapidly and social economic booming, the rapid development of society turns to have both sides. Emergencies also easily set a more serious impact on society, ecological environment and people's life and property safety. Using resources allocation in emergency decision of incidents as the researching object, the article analyses essences and features of resources allocation...
Interactive Dynamic Influence Diagrams (I-DIDs) are a general decision making framework for multiple agents that are either collaborative or competitive. The framework allows for agents to plan individually at their own level in the context of other agents acting and observing in a partially observable environment. Most of the I-DID techniques focus on a simple setting of two agents in which one subject...
In this paper, the Cartesian products on fuzzy soft set are defined, and the fuzzy soft relations can be presented based on the Cartesian products, including uni-int decision relation and level fuzzy soft relation. By using these new concepts an unt-int decision making method based on fuzzy soft set is constructed to selects a fuzzy set of optimum elements from the alternatives. Finally, an example...
Selecting the right suppliers for a supply chain is important as it can have great significance on the operating performance of the supply chain. The supplier selection problem can be quite complex as it usually involves numerous variables and uncertainties, which frequently come in the form of disruptions. This paper examines the existing approaches for supplier selection with focus on their advantages...
Many countries like the US, Brazil, Australia, Canada and some European countries have proposed policies to encourage the use of biofuels by the implementation of regulations to encourage their use in the different sectors of the economy. Among them we find the public transport sector. It is still difficult to assess the potential environmental and social benefits of the use of biofuels because they...
Housing location decision is basic information for transportation modeling. As the basis of trip generation its modelling is quite well-studied. These models are based on economic theories and assume the knowledge of a broad range of decisive information. At the same time people tend to make decision knowing far less information using heuristics. Utilizing this decision making process the question...
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...
Research shows that people consistently reach more efficient solutions than those predicted by standard economic models, which assume people are selfish. Artificial intelligence, in turn, seeks to create machines that can achieve these levels of efficiency in human-machine interaction. However, as reinforced in this paper, people's decisions are systematically less efficient — i.e., less fair and...
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...
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...
Environmental problems are complex in nature and are usually exacerbated by unsustainable trends that are driven by anthropogenic, economic and development factors. One of the key challenges of sustainability is the ability to examine the range of possible future paths of combined social and environmental conditions, under consideration of human perceptions, uncertainty and cause-effect factors, with...
Inference and domain knowledge are the foundation of a Knowledge-based System (KBS). Inference knowledge describes the steps or rules used to perform a task inference; making reference to the domain knowledge that is used. The inference knowledge is typically acquired from the domain experts and communicated to the system developers to be implemented in a KBS. The explicit representation of inference...
In this paper, we introduce the concept called fuzzy non-preferred relation where the elements are interpreted as the non-preferred intensity of one alternative over another one. We divide an intuitionistic preference relation into the fuzzy preference relation part and the fuzzy non-preferred relation part . Based on this division, we propose a new definition of additive consistency of intuitionistic...
Gas-insulated switchgears (GIS) are emerging as more capable power system assets than conventional air-insulated switchgears (AIS), especially in terms of operational reliability and maintenance requirements. However, insufficient consideration is often given to comparing GIS and AIS substation project options. Therefore, a more effective approach is needed to better inform project investment decisions...
Architectural design decisions and architectural knowledge are becoming relevant in the current practice of software architecture. In addition, reusable architectural knowledge has gained much importance in the industrial practice. In the process of architectural decision making, quality attributes constitute key drivers for designing software systems, therefore, it is important to document quality...
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