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Developing models and estimating parameters for multi-criteria decision analysis requires judgments by experts and decision makers. These judgments are subject to biases, which can reduce the quality of the analysis. Some of these biases are due to faulty cognitive processes, some are due to motivations for preferred analysis outcomes. We describe these biases, how they affect multi-criteria decision...
E-commerce gives customers the access to a vast quantity of products but, at the same time increases in a significant way the volume of information they need to deal in a buying decision process. Aggregators of information offer comparison shopping solutions to reduce the consumers' cognitive efforts overload by adding Decision Support Systems to aid consumers with their purchase decisions. Obviously,...
Targeting is the fundamental work in cyberspace operational plan. This paper investigates the basic tradeoffs and decision processes involved in cyber targeting and proposes a simple game theoretic model for cyberspace targeting to support operational plan. Then an optimal targeting strategy decision algorithm applying the game theoretic model is developed. The key component of this game theoretic...
Trustworthiness is a very critical element and should be treated as an important reference when customers try to select proper e-commerce systems. Trustworthiness evaluation requires the management of a wide variety of information types, parameters and uncertainties. Multi-criteria decision analysis (MCDA) has been regarded as a suitable set of methods to perform trustworthiness evaluations as a result...
This paper presents an alternative approach to the one developed by the Brazilian National Agency of Electric Energy (ANEEL) for analysis of efficient operating costs of electricity distributors. The approach adopted by the agency clusters distributors by the magnitude of the market, applying an input-oriented Data Envelopment Analysis (DEA) model in two stages in which the second phase is used to...
In-network content caching has recently emerged in the context of Information-Centric Networking (ICN), which allows content objects to be cached at the content router side. In this paper, we specifically focus on in-network caching of Peer-to-Peer (P2P) content objects for improving both service and operation efficiencies. We propose an intelligent in-network caching scheme of P2P content chunks,...
In this study, we conduct agent-based simulation experiments of network formation focusing on a mathematical model proposed by Berninghaus et al. (2007) such that a periphery sponsored star network is the strict Nash equilibrium. Hayashida et al. (2011) conducted the simulation experiment using NN(Neural Network) and GA(Genetic Algorithm) model to analyze behavior of human subject in the experiment...
The features of complexity and dynamism characterize a social network and its processes. A network node, to perform a decision-making process, will have to consider its personal knowledge and also the influences received from its surroundings. The relationships of each single node change over the time, according to the dynamic evolution of the social network, altering at each time the relations between...
Strategic planning processes are among the most demanding tasks that managers face in today's complex market place. Strategic planning is most effective when implemented as an integral part of institutional decision-making, not as a separate formal, comprehensive activity. Measuring and managing performance is a challenging enterprise and seen as one of the keys to managing change and thus gaining...
Today, Competitive intelligence (CI) became a multi-disciplinary field of studies having for main object the definition of the models and tools for the acquisition of the useful information starting from the environment of the enterprise whose objective is the support of strategic decision making. Our objective in this article is to present the models and the tools support to the CI process to propose...
Enterprise Architecture (EA) models are built for representing one enterprise under study and are used for performing analyses that support decision making processes. EA models are created based on information provided by different kinds of sources, but these sources could be insufficient or the information could be incomplete or incorrect regarding aspects of the enterprise. As a result, modelers...
It is extremely important practical significance for enterprise to establish a practical, reasonable and workable evaluation system of sustainable innovation capability. However, the traditional AHP evaluation and fuzzy evaluation methods ignores the interdependence between the system factors. To compensate the flaw of above method, in this paper, a nonlinear ANP sort method is to be used for comprehensive...
Today, challenges and adventures caused by of risks on IT service providers that are the producers or suppliers of diverse IT services are burdensome. On the contrary, the advantages of using risks prediction and analysis is so high that many of IT service providers are seeking a way to predict, analyze and reduce the effects of risks. In this article, an application oriented model is presented using...
In this paper we describe the tool we have developed to visualise experimental data on top of the multi-agent simulation platform Presage2 and how we have used it with our Social Capital Framework. The visualisation demonstrates how social capital can be used to self-organise solutions to collective actions problems.
Virtual training is a relatively novel field in which human beings learn to perform certain tasks by repeatedly executing them in a virtual reality environment. To make such training environments more effective, the agent paradigm has proven to be a useful tool. By conceptualising a training system as a 'virtual tutor', the system may be able to support the trainee in a similar manner as human instructors...
Agricultural actions usually involve a decision process collaborating different decision makers and officers. Different decision process may encounter different difficulties depending on the type of actions. In order to make efficient progress in actions, a support system for decision making should be constructed to include not only supporting information for the decision, but also tools for decision...
This paper develops a new the weakest t-norm (Tω) fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) to evaluate green supply chain management (GSCM). Traditional DEMATEL is a popular method for making decision. In order to apply a realistic environment the fuzzy DEMATEL had to be developed for analyzing expert judgments with preferences, which are often unclear and ambiguous. The fuzzy...
Supplier selection is a multi-criteria decision making problem involving several conflicting criteria on which decision maker's knowledge is not precise. A systematic methodology is proposed by integrating fuzzy extent analysis, fuzzy cognitive map and fuzzy decision map forming a fuzzy decision network with fuzzy-TOPSIS to select appropriate supplier providing flexibility to decision makers. Here...
Requirement change management is an important activity in software development. When we change our requirements it affects the other requirements of the system as well as the architecture of the system. It needs a proper approach which improves the requirement change management and its impact on architecture in a better way. In this paper a framework has been introduced which integrates the impact...
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