Modified genetic algorithm-based clustering for probability density functions

This article modifies two internal validity measures and applies them to evaluate the quality of clustering for probability density functions (pdfs). Based on these measures, we propose a new modified genetic algorithm called GA-CDF to establish the suitable clusters for pdfs. The proposed algorithm is tested by four numerical examples including two synthetic data sets and two real data sets. These examples illustrate the superiority of proposed algorithm over some existing algorithms in evaluating the internal or external validity measures. It demonstrates the feasibility and applicability of the GA-CDF for practical problems in data mining.     

Using Expert Models in Human Reliability Analysis—A Dependence Assessment Method Based on Fuzzy Logic

In human reliability analysis (HRA), dependence analysis refers to assessing the influence of the failure of the operators to perform one task on the failure probabilities of subsequent tasks. A commonly used approach is the technique for human error rate prediction (THERP). The assessment of the dependence level in THERP is a highly subjective judgment based on general rules for the influence of five main factors. A frequently used alternative method extends the THERP model with decision trees. Such trees should increase the repeatability of the assessments but they simplify the relationships among the factors and the dependence level. Moreover, the basis for these simplifications and the resulting tree is difficult to trace. The aim of this work is a method for dependence assessment in HRA that captures the rules used by experts to assess dependence levels and incorporates this knowledge into an algorithm and software tool to be used by HRA analysts. A fuzzy expert system (FES) underlies the method. The method and the associated expert elicitation process are demonstrated with a working model. The expert rules are elicited systematically and converted into a traceable, explicit, and computable model. Anchor situations are provided as guidance for the HRA analyst's judgment of the input factors. The expert model and the FES‐based dependence assessment method make the expert rules accessible to the analyst in a usable and repeatable way, with an explicit and traceable basis.     

State ownership and listed firm performance: a universally negative governance relationship?

Our analysis of more than 1,000 Chinese listed firms, 2003–2005, reveals a positive association between state ownership (SO) and firm performance. Arguably, if SO “causes” performance, it must be through the channel of agency cost. Therefore, our paper checks the robustness of this positive SO/performance finding by analyzing the role of agency cost as a mediator. It emerges that SO in the Chinese context may represent a strategic asset rather than an agency burden. However, it is not clear whether this is an outcome driven by efficiency or power.     

Longitudinal Tracer Studies: Research Methodology of the Middle Range

This article reviews the longitudinal tracer study in the context of the researcher–practitioner relevance gap. It proposes the tracer as a methodological middle-range approach that takes account of relevancy and which involves practitioners in the research process. An ESRC research project about hoshin kanri (policy deployment) is used as an example to explain the longitudinal tracer study approach. The methodological approach is consistent with middle range theory and thinking, and involves skeletal prior theory, tags, a practitioner network, and continuous reflexivity. It is concluded that the longitudinal tracer study can be a useful middle-range solution to help close the researcher–practitioner gap.     

A System of Sustainability Indicators for the Province of Thai Binh,Vietnam

Sustainable Development is a broad and universal concept. Indicators are a basis to measure sustainability and to direct policies that aim to achieve a better quality of life. Thai Binh, a coastal province in North Vietnam is strongly concerned about strategic sustainability development. To select a system of sustainability indicators, the Delphi method was applied in 2012. A two-round questionnaire was organized to use with 32 experts, who acted as participants. 69 indicators were selected from 98 listed indicators: 15 related to economic development, 5 to the sea and coastal zone, 1 to the global economic partnership, 4 to consumption and production patterns, 7 to poverty, 3 to governance, 9 to health, 4 to education, 3 to demographics, 2 to natural hazards, 5 to atmosphere, 7 to land, and 3 to freshwater. Conversely, 29 other indicators were rejected. The Delphi method allows indicator selection for identification of the process of sustainability. The system of indicators, as the first important step of the sustainable development process, provides useful information for decision makers and planners as well sustainability strategy. It is planned that the indicators selected should be applied in the province.     

Atomic congestion games with random players: network equilibrium and the price of anarchy

Journal of Combinatorial Optimization - In this paper, we present a new model of congestion games with finite and random number of players, and an analytical method to compute the random path and...