21 papers · ranked by Valyu relevance
Junlin Lu, Patrick Mannion, Karl Mason
Many decision-making problems feature multiple objectives. In such problems, it is not always possible to know the preferences of a decision-maker for different objectives. However, it is often possible to observe the behavior of decision-makers. In multi-objective decision-making, preference inference is the process…
Marco Cinelli, Miłosz Kadziński, Michael Gonzalez, Roman Słowiński
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…
Zhiyuan Wang, Seyed Reza Nabavi, Gade Pandu Rangaiah
- 1. Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore - 2. Department of Computer Science, DigiPen Institute of Technology Singapore, Singapore 139660, Singapore - 3. Department of Applied Chemistry, Faculty of Chemistry, University of Mazandaran…
Mehran Spitmaan, Emily Chu, Alireza Soltani
Decisions we face in real life are inherently risky and can result in one of many possible outcomes. However, most of what we know about choice under risk is based on studies that use options with only two possible outcomes (simple gambles), so it remains unclear how the brain constructs reward values for more complex…
Janine van Til, Catharina Groothuis-Oudshoorn, Marijke Lieferink, James Dolan + 1 more
'James Dolan' 'Mireille Goetghebeur'] Background There is an increased interest in the use of multi-criteria decision analysis (MCDA) to support regulatory and reimbursement decision making. The EVIDEM framework was developed to provide pragmatic multi-criteria decision support in health care, to estimate the value of…
A. R. M., Wolfert
Preference aggregation is a core operation in multi-objective design optimisation and group decision-making, as it determines the best-fit-for-common-purpose alternative within complex socio-technical contexts. Since preferences are intrinsically linked to choice, they are subjective, inherently contextual, and reflect…
Douglas G. Lee, Todd A. Hare
When choosing between different options, we tend to consider specific attribute qualities rather than deliberating over some general sense of the objects’ overall values. The importance of each attribute together with its quality will determine our preference rankings over the available alternatives. Here, we show that…
Yongyoon Suh, Yongtae Park, Daekook Kang, Baogui Xin
Mobile services’ rapid evolution and development has meant that their evaluation has become a more and more pressing issue, and from both the practical and theoretical standpoints. The significant previous work in the field of multiple-criteria decision-making based evaluation of mobile services has some practical…
Mehran Spitmaan, Oihane Horno, Emily Chu, Alireza Soltani
Context effects have been explained by either high-level cognitive processes or low-level neural adjustments but not their combination. Therefore, it is unclear how these processes interact to shape individuals’ responses to context. Here, we used a large cohort of human subjects in experiments involving choice between…
Sen Liu, Wei Yu, Ling Liu, Yanan Hu + 1 more
The determination of the weights of decision makers (DMs) is an important problem in multi-attribute group decision making. Many approaches have been presented to determine DMs’ weights. However, the computed weight vectors of DMs are usually assumed to be constant in existing studies, and this may cause…
Authors not listed
Inverse molecular design aims to generate novel chemical structures that satisfy multiple property constraints, yet reinforcement-learning (RL) fine-tuning can be sensitive to how objectives are converted into a scalar reward. Here, we systematically analyze how scalarization choices and stabilization mechanisms shape…
Silvia U. Maier, Anjali Raja Beharelle, Rafael Polanía, Christian C. Ruff + 1 more
Theories and computational models of decision making usually focus on how strongly different attributes are weighted in choice, e.g., as a function of their importance or salience to the decision-maker. However, when different attributes impact on the decision process is a question that has received far less attention.…
Arnaud De Myttenaere, Boris Golden, Bénédicte Le Grand, Fabrice Rossi
'Fabrice Rossi'] > Abstract. Recommendation systems have been integrated into the majority of large online systems to filter and rank information according to user profiles. It thus influences the way users interact with the system and, as a consequence, bias the evaluation of the performance of a recommendation…
Ali Erbey, Üzeyir Fidan, Cemil Gündüz, Małgorzata Przybyła-Kasperek
In multi-criteria decision-making (MCDM) environments characterized by uncertainty and data irregularities, the reliability of weighting methods becomes critical for ensuring robust and accurate decisions. This study introduces a novel hybrid objective weighting method-IQRBOW-E (Interquartile Range-Based Objective…
Katharina Voigt, Carsten Murawski, Sebastian Speer, Stefan Bode
Hard decisions between equally valued alternatives can result in preference changes, meaning that subsequent valuations for chosen items increase and decrease for rejected items. Previous research suggests that this phenomenon is a consequence of cognitive dissonance reduction after the decision, induced by the…
Oh-Hyeon Choung, Riccardo Vianello, Marwin Segler, Nikolaus Stiefl + 1 more
The lead optimization process in drug discovery campaigns is an arduous endeavour where the input of many medicinal chemists is weighed in order to reach a desired molecular property profile. Building the expertise to successfully drive such projects collaboratively is a very timeconsuming process that typically spans…
Hamid Babaei, Shabnam Mohammadi, Hossein Ghaneai
Because the appropriate combination of existing elements and establishing coordination between them as a consequence of making the right decision to accomplish the intended objective is achieved, management is now one of the main pillars of community management. Decisions are made in the majority of situations when the…
Jiří Mazurek, Dominik Strzałka, Gabriele Oliva
In multiple-criteria decision making/aiding/analysis (MCDM/MCDA) weights of criteria constitute a crucial input for finding an optimal solution (alternative). A large number of methods were proposed for criteria weights derivation including direct ranking, point allocation, pairwise comparisons, entropy method…
Tatsuya Yoshizawa, Shoichi Ishida, Tomohiro Sato, Masateru Ohta + 2 more
Molecular design using data-driven generative models has emerged as a promising technology, impacting various fields such as drug discovery and the development of functional materials. However, this approach is often susceptible to optimization failure due to reward hacking, where prediction models fail to accurately…
Robert M. Hanson, John Mayfield, Mikko J. Vainio, Andrey Yerin + 2 more
The most recent version of the Cahn-Ingold-Prelog rules for the determination of stereodescriptors as described in Nomenclature of Organic Chemistry: IUPAC Recommendations and Preferred Names 2013 (the “Blue Book”) were analyzed by an international team of cheminformatics software developers. Algorithms for machine…
Authors not listed
Electrochemical impedance spectroscopy (EIS) is one of the most widely deployed methods to characterise electrochemical systems such as batteries, fuel cells or electrolyzers. The distribution of relaxation times (DRT) represents a technique to simplify EIS data by deconvolution with a suitable kernel, while with…