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Robustness of randomisation tests as alternative analysis methods for repeated measures design

Oladugba, Abimibola Victoria; Obasi, Ajali John; … - In: Statistics in transition : an international journal of … 23 (2022) 4, pp. 77-90

classical statistical methods are violated in data analysis. In this paper, the robustness in terms of the type-I-error and the …

Persistent link: https://www.econbiz.de/10014287886

Robust classification via support vector machines

Asimit, Alexandru V.; Kyriakou, Ioannis; Santoni, Simone; … - In: Risks : open access journal 10 (2022) 8, pp. 1-25

Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to …

Persistent link: https://www.econbiz.de/10013368291

A Delphi fuzzy analytic hierarchy process framework for criteria classification and prioritization in food supply chains under uncertainty

Gupta, Srikant; Chatterjee, Prasenjit; Rastogi, Raghavendra - In: Decision analytics journal 7 (2023), pp. 1-14

Effectively managing food supply chains is critical for ensuring food security and safety. Identifying and prioritizing the criteria affecting food supply chain performance is imperative to manage uncertainty and avoid undesirable consequences in Supply Chain Management (SCM). This study aims to...

Persistent link: https://www.econbiz.de/10014434173

Using robust optimization to inform US deep decarbonization planning

Patankar, Neha; Eshraghi, Hadi; Queiroz, Anderson Rodrigo de - In: Energy strategy reviews 42 (2022), pp. 1-16

US energy system development consistent with the Paris Agreement will depend in part on future fuel prices and technology costs, which are highly uncertain. Energy system optimization models (ESOMs) represent a critical tool to examine clean energy futures under different assumptions. While many...

Persistent link: https://www.econbiz.de/10014512698

A novel best worst method robust data envelopment analysis : incorporating decision makers’ preferences in an uncertain environment

Omrani, Hashem; Valipour, Mahsa; Emrouznejad, Ali - In: Operations research perspectives 8 (2021), pp. 1-11

Data Envelopment Analysis (DEA) has been widely applied in measuring the efficiency of Decision-Making Units (DMUs). The conventional DEA has three major drawbacks: a) it does not consider Decision Makers’ (DMs) preferences in the evaluation process, b) DMUs in this model are flexible in...

Persistent link: https://www.econbiz.de/10012596577

Originating multiple-objective portfolio selection by counter-COVID measures and analytically instigating robust optimization by mean-parameterized nondominated paths

Qi, Yue; Liao, Kezhi; Liu, Tongyang; Zhang, Yu - In: Operations research perspectives 9 (2022), pp. 1-16

The COVID-19 pandemic is unleashing crises of humanity, economy, and finance. Portfolio selection is widely recognized as the foundation of modern financial economics. Therefore, it is naturally crucial and inviting to utilize portfolio selection in order to counter COVID-19 in stock markets. We...

Persistent link: https://www.econbiz.de/10014447642

Originating multiple-objective portfolio selection by counter-COVID measures and analytically instigating robust optimization by mean-parameterized nondominated paths

Qi, Yue; Liao, Kezhi; Liu, Tongyang; Zhang, Yu - In: Operations research perspectives 9 (2022), pp. 1-16

Persistent link: https://www.econbiz.de/10014245480

What automaton model captures decision making? : a call for finding a behavioral taxonomy of complexity

Schosser, Stephan; Vogt, Bodo - 2015

Persistent link: https://www.econbiz.de/10011398305

Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site

Al Mohamed, Alaa Alden; Al Mohamed, Sobhi; Zino, Moustafa - In: Future Business Journal 9 (2023), pp. 1-22

Analytical Hierarchy Process (FAHP) is used to estimate the relative criteria classification through the evaluation process. In …

Persistent link: https://www.econbiz.de/10014373765

Picture fuzzy entropy : a novel measure for managing uncertainty in multi-criteria decision-making

Kumar, Ria; Bisht, Dinesh C. S. - In: Decision analytics journal 9 (2023), pp. 1-9

Entropy plays a vital role within fuzzy set theory as it quantifies the level of uncertainty present in the data. This study proposes a novel entropy measure tailored for Picture Fuzzy Sets (PIFS). This entropy measure is formulated based on the axioms developed for PIFS entropy, ensuring its...

Persistent link: https://www.econbiz.de/10014532597