A method for decision making with the OWA operator

A new method for decision making that uses the ordered weighted averaging (OWA) operator in the aggregation of the information is presented. It is used a concept that it is known in the literature as the index of maximum and minimum level (IMAM). This index is based on distance measures and other techniques that are useful for decision making. By using the OWA operator in the IMAM, we form a new aggregation operator that we call the ordered weighted averaging index of maximum and minimum level (OWAIMAM) operator. The main advantage is that it provides a parameterized family of aggregation operators between the minimum and the maximum and a wide range of special cases. Then, the decision maker may take decisions according to his degree of optimism and considering ideals in the decision process. A further extension of this approach is presented by using hybrid averages and Choquet integrals. We also develop an application of the new approach in a multi-person decision-making problem regarding the selection of strategies.

Improvement of a fully distributed decision making protocol for CRN

Este artículo presenta una propuesta de mejora del protocolo fully distributed decision making protocol for CRN con el fin de llevar a cabo la tarea de detección del espectro libre para las comunicaciones inalámbricas de una manera eficiente y segura.

Iowa Pavement Asset Management Decision-Making Framework & Pavement Treatment Selection Tool for Local Agencies, TR-651, 2015

Most local agencies in Iowa currently make their pavement treatment decisions based on their limited experience due primarily to lack of a systematic decision-making framework and a decision-aid tool. The lack of objective condition assessment data of agency pavements also contributes to this problem. This study developed a systematic pavement treatment selection framework for local agencies to assist them in selecting the most appropriate treatment and to help justify their maintenance and rehabilitation decisions. The framework is based on an extensive literature review of the various pavement treatment techniques in terms of their technical applicability and limitations, meaningful practices of neighboring states, and the results of a survey of local agencies. The treatment selection framework involves three different steps: pavement condition assessment, selection of technically feasible treatments using decision trees, and selection of the most appropriate treatment considering the return-on-investment (ROI) and other non-economic factors. An Excel-based spreadsheet tool that automates the treatment selection framework was also developed, along with a standalone user guide for the tool. The Pavement Treatment Selection Tool (PTST) for Local Agencies allows users to enter the severity and extent levels of existing distresses and then, recommends a set of technically feasible treatments. The tool also evaluates the ROI of each feasible treatment and, if necessary, it can also evaluate the non-economic value of each treatment option to help determine the most appropriate treatment for the pavement. It is expected that the framework and tool will help local agencies improve their pavement asset management practices significantly and make better economic and defensible decisions on pavement treatment selection.

Decision making techniques with similarity measures and OWA operators

We analyse the use of the ordered weighted average (OWA) in decision-making giving special attention to business and economic decision-making problems. We present several aggregation techniques that are very useful for decision-making such as the Hamming distance, the adequacy coefficient and the index of maximum and minimum level. We suggest a new approach by using immediate weights, that is, by using the weighted average and the OWA operator in the same formulation. We further generalize them by using generalized and quasi-arithmetic means. We also analyse the applicability of the OWA operator in business and economics and we see that we can use it instead of the weighted average. We end the paper with an application in a business multi-person decision-making problem regarding production management

Decision making: singin' in the brain.

Which neurons in the brain "decide" to initiate particular behaviors in response to sensory information? In this issue of Neuron, two papers (Kohatsu et al. and von Philipsborn et al.) identify candidates in the courtship circuitry of Drosophila. The activity of these neurons is both regulated by sex pheromones and necessary and sufficient to trigger male love song.

Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model

Recent single-cell studies in monkeys (Romo et al., 2004) show that the activity of neurons in the ventral premotor cortex covaries with the animal's decisions in a perceptual comparison task regarding the frequency of vibrotactile events. The firing rate response of these neurons was dependent only on the frequency differences between the two applied vibrations, the sign of that difference being the determining factor for correct task performance. We present a biophysically realistic neurodynamical model that can account for the most relevant characteristics of this decision-making-related neural activity. One of the nontrivial predictions of this model is that Weber's law will underlie the perceptual discrimination behavior. We confirmed this prediction in behavioral tests of vibrotactile discrimination in humans and propose a computational explanation of perceptual discrimination that accounts naturally for the emergence of Weber's law. We conclude that the neurodynamical mechanisms and computational principles underlying the decision-making processes in this perceptual discrimination task are consistent with a fluctuation-driven scenario in a multistable regime.

The timing of exploratory decision-making revealed by single-trial topographic EEGanalyses.

Decision-making in an uncertain environment is driven by two major needs: exploring the environment to gather information or exploiting acquired knowledge to maximize reward. The neural processes underlying exploratory decision-making have been mainly studied by means of functional magnetic resonance imaging, overlooking any information about the time when decisions are made. Here, we carried out an electroencephalography (EEG) experiment, in order to detect the time when the brain generators responsible for these decisions have been sufficiently activated to lead to the next decision. Our analyses, based on a classification scheme, extract time-unlocked voltage topographies during reward presentation and use them to predict the type of decisions made on the subsequent trial. Classification accuracy, measured as the area under the Receiver Operator's Characteristic curve was on average 0.65 across 7 subjects. Classification accuracy was above chance levels already after 516 ms on average, across subjects. We speculate that decisions were already made before this critical period, as confirmed by a positive correlation with reaction times across subjects. On an individual subject basis, distributed source estimations were performed on the extracted topographies to statistically evaluate the neural correlates of decision-making. For trials leading to exploration, there was significantly higher activity in dorsolateral prefrontal cortex and the right supramarginal gyrus; areas responsible for modulating behavior under risk and deduction. No area was more active during exploitation. We show for the first time the temporal evolution of differential patterns of brain activation in an exploratory decision-making task on a single-trial basis.

Clinical and laboratory predictors of imported malaria in an outpatient setting: an aid to medical decision making in returning travellers with fever

Si le tableau clinique évoque une malaria et que le résultat des examens parasitologiques n?est pas disponible ou est négatif, le praticien n?a pas d?information basée sur l?évidence pour savoir s?il doit donner ou non un traitement présomptif. Afin d?identifier les facteurs cliniques et paracliniques prédictifs d?une parasitémie à Plasmodium, nous avons mené une étude prospective chez les voyageurs ou migrants en provenance d?une zone tropicale ou subtropicale et qui consultaient pour de la fièvre. Le questionnaire comprenait 49 items explorant les données démographiques, les caractéristiques du voyage, les éléments de l?anamnèse et de l?examen clinique ainsi que les résultats de laboratoire. 336 sujets avec données complètes ont été recrutés (97 patients atteints de malaria et 239 contrôles avec fièvre et examen parasitologique négatif). L?analyse de régression multivariée a permis d?identifier les facteurs prédictifs de maiaria suivants : prophylaxie inadéquate, sudations, absence de douleur abdominale, température )38"C, mauvais état général, splénomégalie, compte leucocytaire (1 O x 1 03/L, plaquettes ~ 1 5 0 x l 03/L, taux d?hémoglobine <12 g/dL et éosinophiles (5%. La présence d?une splénomégalie avait le coefficient de probabilité positif pour un diagnostic de malaria le plus élevé (1 3.6) ; venait ensuite la présence d?une thrombopénie (1 1 .O). Dans le contexte de la consultation ambulatoire de la Policlinique Médicale Universitaire (prévalence de malaria de 29%), la probabilité post- test d?avoir un examen parasitologique positif était de 85% pour la splénomégalie et de 82% pour la thrombopénie. Même si le seuil thérapeutique n?est pas absolument défini, il semble raisonnable d?envisager un traitement présomptif lorsque la probabilité post- test est >80%. Si le médecin est réticent à administrer un traitement sans documentation parasitologique, il devrait au moins se retenir d?entreprendre d?autres investigations coûteuses, et plutôt répéter l?examen parasitologique après 12-24 heures.

Patients' preferences on information and involvement in decision-making in gastrointestinal surgery

Contexte et but de l'étude: La relation médecin-patient a subi d'importants changements et l'actuelle émancipation des patients a conduit à un véritable partenariat dans la prise de décisions thérapeutiques. Notre étude a pour but de déterminer les préférences des patients pour différents aspects de la prise de décisions au cours d'un traitement et de ses potentielles complications, de même que la quantité et le type d'information souhaitée avant une intervention chirurgicale digestive. Patients et méthodes : Il s'agit d'une étude prospective non-randomisée basée sur un questionnaire donné lors de la consultation préopératoire à 254 patients consécutifs prévus pour une chirurgie gastro-intestinale élective. Résultats : Pour les potentielles complications chirurgicales et la possibilité d'un séjour aux soins intensifs, 64% des patients souhaitent participer activement aux décisions médicales, et respectivement 89% et 60% des patients aimeraient discuter d'une éventuelle réanimation cardio-pulmonaire et de limitations au traitement. Respectivement 73%, 77% et 47% des patients ont souhaité une information très détaillée, une infoimation pour une possible hospitalisation en soins intensifs ou une éventuelle réanimation cardiaque. Les patients âgés ou avec un niveau de formation bas étaient significativement moins intéressés à une prise de décision partagée (p=0.003 et 0.015) et à une information complète (p=0.03 et 0.05), De plus, l'implication des familles dans les prises de décision n'était favorisée que si le patient est en coma (74%), et significativement moins importante chez les personnes âgées et de sexe masculin (p=0.04 et 0.03 respectivement). Ni le type de chirurgie prévue (majeure ou mineure) ni la sévérité de la pathologie (cancer ou non) ne furent des facteurs statistiquement significatifs pour un désir plus élevé de partager la prise de décision, pour plus d'information ou pour impliquer d'avantage la famille. Conclusions : Notre étude démontre que la majorité des patients chirurgicaux souhaitent recevoir une information préopératoire complète concernant leur maladie et le traitement planifié. Ils considèrent également comme crucial d'être impliqués dans les prises de décisions thérapeutiques pour le traitement et pour les possibles complications. Le rôle de la famille est limité aux situations ou le patient n'est plus en mesure de participer aux décisions.