Due to the flexibility of multi-criteria optimization, Regularized Multiple Criteria Linear Programming (RMCLP) has received attention in decision support systems. Numerous theoretical and empirical studies have demonstrated that RMCLP is effective and efficient in classifying large scale data sets. However, a possible limitation of RMCLP is poor interpretability and low comprehensibility for e...

background: excellence and quality models are comprehensive methods for improving the quality of healthcare. the aim of this study was to design excellence and quality model for training centers of primary health care using delphi method. methods: in this study, delphi method was used. first, comprehensive information were collected using literature review. in extracted references, 39 models we...

We briefly introduce and discuss some criteria for optimal decisions. For the majority of this module, we consider a person’s utility for different options (or ‘rewards’ or ‘actions’) and, with uncertainty about the reward which will follow a specific decision, we aim at maximisation of the expected utility, which is actually the utility of the optimal decision (note that a decision is a gamble...

Many recent investigations of Computational Decision Theory focused on the problem of making decisions in presence of more than one single criterion. The so called multiple criteria decision theory, in particular, deals with such problems, in depth. In general these investigations tend to be specifically quantitative, and withal in those approaches that look at purely qualitative models, the so...

The importance of maturity models and business process management (BPM) is already recognized, resulting in many business process maturity models (BPMMs) to progress in BPM. Nonetheless, practitioners have no overview of existing BPMMs and their differences, which makes an informed choice difficult. Choosing the right model is, however, important, as our previous research indicated a great dive...

In this paper, we explain the detail analysis procedure of submission 1(Previous predicted results submission) of Task A1. We are trying to induce decision tree models to predict pc:numberOfTenders. Since the type of target attribute is non-negative integer value, we use the variance reduction as the attribute selection criteria. Input attributes are defined based on structure information of Pu...

peri-urban area development process decreases agricultural land use because of significant trend of city sprawl. in the agricultural sector, goals for sustainability generally include maintenance or enhancement of the natural environment, meeting of human needs for food, economic viability, and social welfare. as agriculture has enormous environmental impacts on peri-urban regions, it is necess...

Diffusion models for simple two-choice decision-making have achieved prominence in psychology and neuroscience. The standard model views decision-making as a process in which noisy evidence is accumulated until one of the two response criteria is reached, at which point the associated response is made. The criteria represent the amount of evidence needed to make a decision and they reflect the ...