Marco Cinelli

Leiden University | LEI · Leiden University College

Over the past few decades, the strategies to perform energy systems analysis have evolved into multiple criteria-based frameworks. However, there still remains a lack of guidance on how to select the most suitable Multiple Criteria Decision Analysis (MCDA) method. These methods provide different decision recommendations for the Decision Makers, inc...

We present a new methodology to lead the selection of Multiple Criteria Decision Analysis (MCDA) methods. It is implemented in the Multiple Criteria Decision Analysis Methods Selection Software (MCDA-MSS), a decision support system that helps analysts answer a recurring question in decision science: “Which is the most suitable Multiple Criteria Dec...

Composite Indicators (CIs, a.k.a. indices) are increasingly used as they can simplify interpretation of results by condensing the information of a plurality of underlying indicators in a single measure. This paper demonstrates that the strength of the correlations between the indicators is directly linked with their capacity to transfer information...

This study proposes a set of key decision-making features of the contaminated site remediation process to assist in selecting the most appropriate decision support method(s). Using a case study consistent with the requirements of the U.S. regulation for contaminated sites management, this article shows that suitable Multiple Criteria Decision Analy...

Background To date (April 2021), medical device (MD) design approaches have failed to consider the contexts where MDs can be operationalised. Although most of the global population lives and is treated in Low- and Middle-Income Countries (LMCIs), over 80% of the MD market share is in high-resource settings, which set de facto standards that cannot...

We present the Multiple Criteria Decision Analysis Methods Selection Software (MCDA-MSS). This decision support system helps analysts answering a recurring question in decision science: Which is the most suitable Multiple Criteria Decision Analysis method (or a subset of MCDA methods) that should be used for a given Decision-Making Problem (DMP)?....

A web-based software, called MCDA Index Tool (https://www.mcdaindex.net/), is presented in this paper. It allows developing indices and ranking alternatives, based on multiple combinations of normalization methods and aggregation functions. Given the steadily increasing importance of accounting for multiple preferences of the decision-makers and as...

We consider a problem of multi-decision sorting subject to multiple criteria. In the newly formulated decision problem, besides performances on multiple criteria, alternatives get evaluations on multiple interrelated decision attributes involving preference-ordered classes. We propose a dedicated method for dealing with such a problem, incorporatin...

The Composite Indicator Analysis and Optimization (CIAO) tool v.2 is an expansion of the automated Matlab menu-version of the approach presented by Becker et al. (2017)* for the advanced assessment of Composite Indicators (CIs). The CIAO tool allows users to: 1. Perform a detailed examination of the linear and nonlinear relationships among (i) the...

Purpose Weighting in life cycle assessment (LCA) incorporates stakeholder preferences in the decision-making process of comparative LCAs. Research efforts on this topic are concerned with deriving weights according to different principles, but few studies have evaluated the relationship between normalization and weights and their effect on single s...

Good public space is an inherent part of liveable cities. However, due to the complexity and ambiguity of the concept of public space quality, capturing essential characteristics to assess the quality of public space in a quantitative framework is not straightforward. In this paper, we introduce the Public Space Quality Index (PSQI), a Multi-Criter...

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 several decades to support decision making. It includes a series of steps that systematically help Decision Maker(s) (DM(s)) and stakeholders in structuring a decisio...

The interest in studying energy systems' resilience is increasing due to a rising awareness of the importance of having a secure energy supply. This growing trend is a result of a series of recent disruptions, among others also affecting electricity systems. Therefore, it is of crucial importance for policymakers to determine whether their country...

The MCDA Index Tool (http://www.mcdaindex.net/) is a web software that provides a practical and straightforward guide for the construction of indices and rankings. In particular, it contains a set of steps that can help developing indices by learning and assessing the quality of the outputs. Key features include robustness assessment of the outcome...

Indicator-based approaches are suitable to assess multi-dimensional problems. In order to compare a set of alternatives, one strategy is to normalize individual indicators to a common scale and aggregate them into a comprehensive score. This study proposes the Electricity Supply Resilience Index (ESRI), which is a measure of a nation's electricity...

The impacts of energy accidents are of primary interest for risk and resilience analysts, decision makers, and the general public. They can cause human health and environmental impacts, economic and societal losses, which justifies the interest in developing models to mitigate these adverse outcomes. We present a classification model for sorting en...

We propose a novel approach to multiple criteria sorting incorporating a threshold-based value-driven procedure. The parameters deciding upon the shape of marginal value functions and separating class thresholds are inferred through preference disaggregation from the Decision Maker's incomplete assignment examples and partial requirements on the ty...

ELECTRONIC SUPPLEMENTARY INFORMATION (ESI) Advancing hazard assessment of energy accidents in the natural gas sector with rough set theory and decision rules Marco Cinelli1,*,^, Matteo Spada2, Miłosz Kadziński3, Grzegorz Miebs3, Peter Burgherr2 1 Future Resilient Systems (FRS), Swiss Federal Institute of Technology (ETH) Zürich, Singapore-ETH Centr...

Complex decision-making projects can normally not just recommend a single, ideal solution to the decision maker. Decision support should rather focus on finding the best compromise solution(s), accounting for necessary trade-offs between the factors used for the evaluations, which impedes an alternative to outperform all the others on all these fac...

Energy systems are regularly subject to major disruptions affecting economic activities, operation of infrastructure and the society as a whole. Resilience assessment comprises the pre-event oriented classical risk assessment as a central element, but it goes beyond that because it also includes and evaluates post-event strategies to improve the fu...

Due to conservative design models and safe construction practices, infrastructure usually has unknown amounts of reserve capacity that exceed code requirements. Quantification of this reserve capacity has the potential to lead to better asset-management decisions by avoiding unnecessary replacement and by lowering maintenance expenses. However, suc...

Good public spaces are an inherent part of liveable cities. However, due to the complexity and ambiguity of the concept of public space quality, capturing essential characteristics to assess the quality of public space in a quantitative framework is not straightforward. In this paper, we introduce the Public Space Quality Index (PSQI), a Multi-Crit...

The Composite Indicator Analysis and Optimization (CIAO) tool v.1 is an automated Matlab menu-version of the approach presented by Becker et al. (2017)* for the advanced assessment of Composite Indicators (CIs). The CIAO tool allows users to: 1. Perform a detailed examination of the linear and nonlinear relationships among (i) the set of indicator...

A global dataset of refinery accidents for the years 1990-2016 was analyzed to evaluate the capacity of 16 attributes to differentiate between accidents that cause or not fatalities. For this purpose a Dominance-based Rough Set Approach (DRSA) analysis was carried out. The quality of approximation and accuracy measures confirmed that the establishe...

Nanomaterials are becoming widely used in areas such as biomedical applications, food, environmental protection, energy production, information technology and agriculture. As such, more research has been conducted on their synthesis and manufacturing from a variety of feedstocks. However, concerns regarding their impact on human health and the envi...

A global dataset of refinery accidents for the years 1990-2016 was analyzed to evaluate the capacity of 16 attributes to differentiate between accidents that cause or not fatalities. For this purpose a Dominance-based Rough Set Approach (DRSA) analysis was carried out. The quality of approximation and accuracy measures confirmed that the establishe...

Criticality assessments of raw materials are inherently based on multiple criteria, which justifies the use of multi-criteria decision analysis (MCDA) to aid the interpretation of the data by providing a comprehensive evaluation. A structured and transparent selection procedure is firstly introduced in this paper to choose eight supply risk assessm...

Several initiatives have been proposed nationally and internationally to collect information on accidents in the energy sector, assuming that a detailed, integral and targeted analysis of them can reveal the weak points in the energy infrastructure. The influence and relevance of the descriptors (e.g., country, energy chain, infrastructure type) of...

Nanomaterials (materials at the nanoscale, 10−9m) are extensively used in several industry sectors due to the improved properties they empower commercial products with. There is a pressing need to produce these materials more sustainably. This paper proposes a Multiple Criteria Decision Aiding (MCDA) approach to assess the implementation of green c...

This paper proposes a robustness analysis based on Multiple Criteria Decision Aiding (MCDA). The ensuing model was used to assess the implementation of green chemistry principles in the synthesis of silver nanoparticles. Its recommendations were also compared to an earlier developed model for the same purpose to investigate concordance between the...

Life cycle thinking and life cycle assessment are vital elements of sustainability assessment and increasingly mentioned as being essential for informing decisions in a comprehensive and holistic manner in both business and policy contexts (Sala et al. 2013). The European Commission has recently released a Communication on Better regulation (CEC, 2...

The provision of decision support methods and strategies is of primary importance to guarantee justifiable decision-making processes. Many of the experts and practitioners in this area gathered from 3 to 7 August 2015 at the 23rd Conference of the International Society on Multiple Criteria Decision Making at Helmut-Schmidt University in Germany. Th...

Nanotechnology applications (nanoproducts) have entered the market or are expected to do so in the near future. Robust and science-based criteria are required to appraise and manage their sustainability. This paper describes the approach used to develop a comprehensive and reliable framework of criteria, which was missing until now, for evaluating...

The assessment of implementation of green chemistry principles in the synthesis of nanomaterials is a complex decision-making problem that necessitates integration of several evaluation criteria. Multiple Criteria Decision Aiding (MCDA) provides support for such a challenge. One of its methods - Dominance-based Rough Set Approach (DRSA) - was used...

Sustainability assessments require the management of a wide variety of information types, parameters and uncertainties. Multi criteria decision analysis (MCDA) has been regarded as a suitable set of methods to perform sustainability evaluations as a result of its flexibility and the possibility of facilitating the dialogue between stakeholders, ana...

‘Approaches to Sustainability’ was part of a project of the same name, and was organised as part of the programme of events for the Environmental Studies Research Network. The network intends to bridge gaps between disciplines in the field and to explore the synergies of the work taking place in different areas of the University of Warwick and beyo...

Abstract Substantial limitations and uncertainties hinder the exposure assessment of engineered nanomaterials (ENMs). The present deficit of reliable measurements and models will inevitably lead in the near term to qualitative and uncertain exposure estimations, which may fail to support adequate risk assessment and management. Therefore it is nece...