Temporal issues within modeling organizational systems are examined generally and with fuzzy cognitive maps. These maps give the opportunity to consider temporal factors when studying organizational models. The knowledge we gain about the system is useful when the aim is not to optimize time intervals in well-known and instrumented contexts, but also to discover the behavior of the system while different temporal factors are implemented by the management. We will present an adapted resolution for including these factors as key elements in organizational models with fuzzy cognitive map examples for middle and back office application.
ANP and AHP based approach for weighting criteria within decision making contexts has no need to be presented once more. Academic literature in disciplines like economics, engineering, political sciences, statistics or mathematics testify of the broadness of topics, situations and cultures where the method's value has been proven. From supply planning or road mapping to monitoring, from crisis management or banking crime to rural water supply, decision makers-both in governments or firms-have implemented this method in the five continents. Less has been done in the use of the method beyond decision making, as for example in the field of innovation or organisational design where it can be expected that ANP-AHP facilitates the formulation of a suitable dynamics to inter-wave the complex links of International Journal of the Analytic Hierarchy Process 1 Washington, D.C. June 29-July 2, 2014 experts' representations of the system under study. We advance the hypothesis that the rough data friendliness of ANP-AHP method, combining tangible and intangible information can be used to provide the relevant interactions for living systems like modelling which is at the centre of the cross disciplinary creativity needed to design innovative and balanced operating models
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