A View of the Plan Puebla: An Application of Hierarchical Decision Models

1976 ◽  
Vol 58 (5) ◽  
pp. 881-887 ◽  
Author(s):  
Christina H. Gladwin
Keyword(s):  
Decision Models ◽  
Hierarchical Decision

scholarly journals On the Identifiability of Hierarchical Decision Models

2021 ◽  
Author(s):  
Roman Bresson ◽  
Johanne Cohen ◽  
Eyke Hüllermeier ◽  
Christophe Labreuche ◽  
Michèle Sebag
Keyword(s):  
Machine Learning ◽  
Learning Community ◽  
Choquet Integral ◽  
Marginal Utility ◽  
Desirable Property ◽  
Decision Models ◽  
Primary Concern ◽  
Decision Aiding ◽  
Hierarchical Decision ◽  
Aggregation Parameters

Interpretability is a desirable property for machine learning and decision models, particularly in the context of safety-critical applications. Another most desirable property of the sought model is to be unique or {\em identifiable} in the considered class of models: the fact that the same functional dependency can be represented by a number of syntactically different models adversely affects the model interpretability, and prevents the expert from easily checking their validity. This paper focuses on the Choquet integral (CI) models and their hierarchical extensions (HCI). HCIs aim to support expert decision making, by gradually aggregating preferences based on criteria; they are widely used in multi-criteria decision aiding {and are receiving interest from the} Machine Learning {community}, as they preserve the high readability of CIs while efficiently scaling up w.r.t. the number of criteria. The main contribution is to establish the identifiability property of HCI under mild conditions: two HCIs implementing the same aggregation function on the criteria space necessarily have the same hierarchical structure and aggregation parameters. The identifiability property holds even when the marginal utility functions are learned from the data. This makes the class of HCI models a most appropriate choice in domains where the model interpretability and reliability are of primary concern.

Wenn stadtpolitische Bewegungen das Terrain des Staats betreten

2018 ◽  
Vol 48 (191) ◽  
Author(s):  
Jonathan Diesselhorst
Keyword(s):  
Social Movements ◽  
City Government ◽  
Housing Policies ◽  
Hierarchical Decision Making ◽  
Urban Social Movements ◽  
State Apparatus ◽  
Hierarchical Decision ◽  
Relationship Of ◽  
The Relationship ◽  
The City

This article discusses the struggles of urban social movements for a de-neoliberalisation of housing policies in Poulantzian terms as a “condensation of the relationship of forces”. Drawing on an empirical analysis of the “Berliner Mietenvolksentscheid” (Berlin rent referendum), which was partially successful in forcing the city government of Berlin to adopt a more progressive housing policy, the article argues that urban social movements have the capacity to challenge neoliberal housing regimes. However, the specific materiality of the state apparatus and its strategic selectivity both limit the scope of intervention for social movements aiming at empowerment and non-hierarchical decision-making.

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