20,042 research outputs found
An Axiomatic Approach to Routing
Information delivery in a network of agents is a key issue for large, complex
systems that need to do so in a predictable, efficient manner. The delivery of
information in such multi-agent systems is typically implemented through
routing protocols that determine how information flows through the network.
Different routing protocols exist each with its own benefits, but it is
generally unclear which properties can be successfully combined within a given
algorithm. We approach this problem from the axiomatic point of view, i.e., we
try to establish what are the properties we would seek to see in such a system,
and examine the different properties which uniquely define common routing
algorithms used today.
We examine several desirable properties, such as robustness, which ensures
adding nodes and edges does not change the routing in a radical, unpredictable
ways; and properties that depend on the operating environment, such as an
"economic model", where nodes choose their paths based on the cost they are
charged to pass information to the next node. We proceed to fully characterize
minimal spanning tree, shortest path, and weakest link routing algorithms,
showing a tight set of axioms for each.Comment: In Proceedings TARK 2015, arXiv:1606.0729
Evaluation of e-learning web sites using fuzzy axiomatic design based approach
High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted to evaluate the quality of e-learning web sites. Another multi-criteria decision making technique, namely fuzzy TOPSIS, is applied in order to validate the outcome. The methodology proposed in this paper has the advantage of incorporating requirements and enabling reductions in the problem size, as compared to fuzzy TOPSIS. A case study focusing on Turkish e-learning websites is presented, and based on the empirical findings, managerial implications and recommendations for future research are offered
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An evaluation methodology for ergonomic design of electronic consumer products based on fuzzy axiomatic design
This article is posted with permission of OCP Science imprint. Copyright @ 2008 Old City Publishing Group.The development life cycle of software and electronic products has been shortened by the growth of rapid prototyping techniques. The evaluation of electronic consumer products should consider hardware and software as well as the ergonomic usability, emotional appeal and aesthetic integrity of the design. This research follows a systematic approach to develop an evaluation methodology for electronic mobile products on ergonomic design. The proposed methodology is based on fuzzy multi attribute decision making and fuzzy axiomatic design realized in three steps; determination of ergonomic attributes for electronic consumer products, determination of a representative set of alternatives, and selection of the best alternative in terms of ergonomic design by utilizing fuzzy axiomatic design. A case study is also provided to support the proposed methodology
An Improved Axiomatic Design Approach in Distributed Resource Environment, Part 1: Toward Functional Requirements to Design Parameters Transformation
AbstractHow to transform Functional Requirements (FRs) into Design Parameters (DPs) plays a key role in using the Axiomatic Design (AD) theory. However, the AD theory does not provide such an approach to support the transformation from FRs to DPs. As the meantime, there is a trend to use internet-based knowledge service in a distributed resource environment to efficiently generate a design concept. The authors aim at developing an improved axiomatic design approach. This approach consists of two parts, part 1 built a new model for the transformation from FRs to DPs in a distributed resource environment; part 2 proposed an achieving algorithm for the generation of Function unit chain sets (FUCSs). The studies are based on a hypothesis that almost all of the FRs can be met by a function unit set. The DPs of each Function Unit (FU) are provided by knowledge service suppliers. In such a distributed resource environment, designers only need to search function units via their inputs and outputs and integrate them into a concept solution to meet a functional requirement. This paper firstly defined the basic definitions of Functional Requirements (FRs), Functions (Fs), Function Units (FUs), Function unit sets (FUSs), Function unit chain sets (FUCSs) and Design Parameters (DPs), then described the transformation process in detail, thirdly, proposed principle forms for calculating the outputs in FUSs, finally, used a case study to illustrate the proposed approach by analyzing the design process of a friction-abrasion testing machine
Homo Datumicus : correcting the market for identity data
Effective digital identity systems offer great economic and civic potential. However, unlocking this potential requires dealing with social, behavioural, and structural challenges to efficient market formation. We propose that a marketplace for identity data can be more efficiently formed with an infrastructure that provides a more adequate representation of individuals online. This paper therefore introduces the ontological concept of Homo Datumicus: individuals as data subjects transformed by HAT Microservers, with the axiomatic computational capabilities to transact with their own data at scale. Adoption of this paradigm would lower the social risks of identity orientation, enable privacy preserving transactions by default and mitigate the risks of power imbalances in digital identity systems and markets
Measuring centrality by a generalization of degree
Network analysis has emerged as a key technique in communication studies,
economics, geography, history and sociology, among others. A fundamental issue
is how to identify key nodes, for which purpose a number of centrality measures
have been developed. This paper proposes a new parametric family of centrality
measures called generalized degree. It is based on the idea that a relationship
to a more interconnected node contributes to centrality in a greater extent
than a connection to a less central one. Generalized degree improves on degree
by redistributing its sum over the network with the consideration of the global
structure. Application of the measure is supported by a set of basic
properties. A sufficient condition is given for generalized degree to be rank
monotonic, excluding counter-intuitive changes in the centrality ranking after
certain modifications of the network. The measure has a graph interpretation
and can be calculated iteratively. Generalized degree is recommended to apply
besides degree since it preserves most favourable attributes of degree, but
better reflects the role of the nodes in the network and has an increased
ability to distinguish among their importance.Comment: 20 pages, 8 figure
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