Partial Order Concepts in Applied Sciences

<div>Part I.Theoretical and methodological advances.-&nbsp;1.Endowing posets with flesh: if, why and how?.-&nbsp;2.Incomparability/inequality measures and clustering.-&nbsp;3.Incomparable – what now, IV. Incomparabilities - a modeling challenge.-&nbsp;4.Partial Ordering and Metrology Analyzing Analytical Performance.-&nbsp;5.Functionals and synthetic indicators over finite posets.-</div><div>6.Evaluation, considered as problem orientable mathematics over lattices.-&nbsp;7.A combined lexicographic-average rank approach for evaluating uncertain multi-indicator matrices with risk metrics.- Part II.Partial Order Theory in socio-economic sciences.-&nbsp;8.Peculiarities in multidimensional regional poverty.-&nbsp;9.Application of Partial Order Theory to Multidimensional Poverty Analysis in Switzerland.-&nbsp;10.Analysis of social participation: a multidimensional approach based on the theory of partial ordering.-&nbsp;11.POSET analysis of panel data with POSAC.-&nbsp;12.Partially Ordered SetTheory and Sen’s capability approach: a fruitful relationship.- Part III.Partial Order Theory in environmental sciences.-&nbsp;13.Ranking Chemicals with Respect to Accidents Frequency.-&nbsp;14.Formal Concept Analysis applications in chemistry: from radionuclides and molecular structure to toxicity and diagnosis.-&nbsp;15.Partial Order Analysis of the government dependence&nbsp;of &nbsp;the &nbsp;Sustainable &nbsp;Development &nbsp;Performance &nbsp;in&nbsp;Germany´s Federal States.- Part IV.New applications of Partial Order Theory.-&nbsp;16.A matching problem, partial order and an analysis applying the Copeland index.-&nbsp;17.Application of the Mixing Partial Order to Genes.-&nbsp;18.Analysing ethnopharmacological data matrices on traditional uses of medicinal plants with the contribution of Partial Order Techniques.-&nbsp;Part V.Software developments.- 19.PARSEC: An R package for partial orders in socio-economics.- 20.PyHasse and cloud computing.</div><br><div><br></div><div><br>div>