On the methodological framework of composite indices: A review of the issues of weighting, aggregation, and robustness
In recent times, composite indicators have gained astounding popularity in a wide variety of
research areas. Their adoption by global institutions has further captured the attention of the …
research areas. Their adoption by global institutions has further captured the attention of the …
[HTML][HTML] How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy
Decision making is a complex task that involves a multitude of perspectives, constraints, and
variables. Multiple Criteria Decision Analysis (MCDA) is a process that has been used for …
variables. Multiple Criteria Decision Analysis (MCDA) is a process that has been used for …
Urban resilience against natural disasters: Map** the risk with an innovative indicators-based assessment approach
The increase in the frequency and intensity through which natural disasters have hit cities in
the last twenty years has created the need to prefigure a model of sustainable urban …
the last twenty years has created the need to prefigure a model of sustainable urban …
SMAA methods and their applications: a literature review and future research directions
Stochastic multicriteria acceptability analysis (SMAA) is a family of multiple criteria decision
making (MCDM) methods dealing with incomplete, imprecise, and uncertain information on …
making (MCDM) methods dealing with incomplete, imprecise, and uncertain information on …
Predicting bankruptcy of local government: A machine learning approach
In this paper we analyze the predictability of the bankruptcy of 7795 Italian municipalities in
the period 2009–2016. The prediction task is extremely hard due to the small number of …
the period 2009–2016. The prediction task is extremely hard due to the small number of …
Evaluating and comparing entrepreneurial ecosystems using SMAA and SMAA-S
This paper focuses on the entrepreneurial ecosystem as a set of interdependent and
coordinated factors in a territory enabling entrepreneurship. To date, academic research has …
coordinated factors in a territory enabling entrepreneurship. To date, academic research has …
Multi-criteria classification, sorting, and clustering: A bibliometric review and research agenda
Multi-criteria decision analysis (MCDA) has been increasingly adopted to solve decision-
making problems involving multiple options and multiple criteria. These methods have been …
making problems involving multiple options and multiple criteria. These methods have been …
Composite outcome measurement in clinical research: the triumph of illusion over reality?
SP McKenna, A Heaney - Journal of medical economics, 2020 - Taylor & Francis
Composite measures that combine different types of indicators are widely used in medical
research; to evaluate health systems, as outcomes in clinical trials and patient-reported …
research; to evaluate health systems, as outcomes in clinical trials and patient-reported …
Wealth-adjusted human development index
G Resce - Journal of Cleaner Production, 2021 - Elsevier
It has been shown that the development of a country's people stems from its wealth, which is
characterized by human, social, and natural capital, but an assessment of the Human …
characterized by human, social, and natural capital, but an assessment of the Human …
Predicting agri-food quality across space: A Machine Learning model for the acknowledgment of Geographical Indications
Abstract Geographical Indications (GIs), as Protected Designation of Origin (PDO) and
Protected Geographical Indication (PGI), offer a unique protection scheme to preserve high …
Protected Geographical Indication (PGI), offer a unique protection scheme to preserve high …