Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation

T Baležentis, D Streimikiene - Applied energy, 2017 - Elsevier
Abstract Integrated Assessment Models (IAMs) are omnipresent in energy policy analysis.
Even though IAMs can successfully handle uncertainty pertinent to energy planning …

Combining local preferences with multi-criteria decision analysis and linear optimization to develop feasible energy concepts in small communities

R McKenna, V Bertsch, K Mainzer, W Fichtner - European journal of …, 2018 - Elsevier
Decentralised community energy resources are often abundant in smaller, more rural
communities. Such communities often lack the capacity to develop extensive energy …

A sustainable modelling for solid waste management using analytical hierarchy process, Monte Carlo simulation and NSGA-III

SA Sadati, P Zaukeri Getabi… - International Journal of …, 2024 - Taylor & Francis
The issue of solid waste management is one of the greatest challenges of any society.
Instead of leveraging solid waste's potential to produce energy using waste-to-energy (WTE) …

A new dominance intensity method to deal with ordinal information about a DM's preferences within MAVT

EA Aguayo, A Mateos, A Jiménez - Knowledge-Based Systems, 2014 - Elsevier
Dominance measuring methods are an approach to deal with complex decision-making
problems with imprecise information. These methods are based on the computation of …

Testing self-adaptive software with probabilistic guarantees on performance metrics

C Mandrioli, M Maggio - Proceedings of the 28th ACM Joint Meeting on …, 2020 - dl.acm.org
This paper discusses the problem of testing the performance of the adaptation layer in a self-
adaptive system. The problem is notoriously hard, due to the high degree of uncertainty and …

Dominance intensity measuring methods in MCDM with ordinal relations regarding weights

A Mateos, A Jiménez-Martín, EA Aguayo… - Knowledge-Based …, 2014 - Elsevier
We consider a multicriteria decision-making context in which the decision-maker's
preferences are represented by a multi-attribute additive value function. We account for …

IMP: A decision aid for multiattribute evaluation using imprecise weight estimates

A Jessop - Omega, 2014 - Elsevier
In multicriteria analysis, weights are inferred from judgements. Judgements are subject to
uncertainty and the weights found depend on the method used so that weights must …

[图书][B] Uncertainty handling in multi-attribute decision support for industrial risk management

V Bertsch - 2008 - publikationen.bibliothek.kit.edu
The complexity of today's industrial production networks constitutes a new challenge for
industrial risk and safety management. In order to handle potential risks to and emanating …

A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision …

D Wulf, V Bertsch - Expert Systems with Applications, 2017 - Elsevier
Abstract Multi-Criteria Decision Analysis (MCDA) enables decision makers (DM) and
decision analysts (DA) to analyse and understand decision situations in a structured and …

Testing self-adaptive software with probabilistic guarantees on performance metrics: extended and comparative results

C Mandrioli, M Maggio - IEEE Transactions on Software …, 2021 - ieeexplore.ieee.org
This paper discusses methods to test the performance of the adaptation layer in a self-
adaptive system. The problem is notoriously hard, due to the high degree of uncertainty and …