Iron Age settlements in the Middle Atrak Basin Iran have a particular distribution pattern due to environmental, social, and economic variables, among which geographical factors play an essential role creating dispersing settlements. Some of these more effective stable than others. The present study examines evaluates sites determine that significant Moreover, zoning map should be presented usi...

Multiple objective decision support, either for selection among finite alternatives or for combining multiple functions in mathematical programming, often involves estimating a set of weights of relative importance. Recently Solymosi and Dombi proposed a means of estimating such weights based upon ordinal preference information. This method relies upon the centroid of bounded weights. Analytic ...

January 23, 1990 Abstract Using the insight derived from the computational investigation by Newman and Gabrielov (1989) of the failure threshold of fiber bundles organized in hierarchical fashion, we prove by analytic methods independent of the specific failure properties of an individual fiber and independent of the specific hierarchical organization employed that the threshold for failure of ...

This paper proposes a two-stage fuzzy logarithmic preference programming with multi-criteria decisionmaking, in order to derive the priorities of comparison matrices in the analytic hierarchy pprocess (AHP) and the analytic network process (ANP). The Fuzzy Preference Programming (FPP) proposed by Mikhailov and Singh [L. Mikhailov, M.G. Singh, Fuzzy assessment of priorities with application to c...

One way to validate a scientific theory is to show that the results predicted by the theory give correct answers; that is, that they match known results. In the Analytic Hierarchy Process (AHP) this usually means finding examples with measures in an already known scale. To validate AHP priority vectors against measures from known scales the measures must first be normalized by dividing by their...

This article describes a general class of factor analytic models for the analysis of clustered multivariate data in the presence of informative missingness. We assume that there are distinct sets of cluster-level latent variables related to the primary outcomes and to the censoring process, and we account for dependency between these latent variables through a hierarchical model. A linear model...

multi-criteria evaluation methods (mcem) have been widely used in the scientific arena as well as in urban and regional planning. the analytic network process (anp) is one the mcem that includes relevant tangible as well as intangible criteria and sub-criteria. it allows for a more complex relationship among the decision levels and attributes, as it does not require a strict hierarchical struct...

china is one of the largest grain producing and consuming nations in the world and the importance of grain security to the chinese can never be overemphasized. in this paper, we present a comprehensive early-warning model for evaluating the status of grain security in china. the model is based on the analytic hierarchy process (ahp) method and the dempster–shafer theory (dst). we divided the ri...