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Mats Danielson

Bio: Mats Danielson is an academic researcher from Stockholm University. The author has contributed to research in topics: Decision analysis & Optimal decision. The author has an hindex of 21, co-authored 131 publications receiving 1747 citations. Previous affiliations of Mats Danielson include International Institute of Minnesota & Mid Sweden University.


Papers
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Journal Article
TL;DR: This research presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and therefore expensive process of manually cataloging and cataloging individual students' learning styles and activities.
Abstract: e‑Learning implementation is an area in progress that continues to evolve with time and further research. Researchers in the field argue that e‑Learning is still in its infancy, resulting into nume ...

165 citations

Journal ArticleDOI
30 Dec 2012
TL;DR: This paper provides a survey of state-of-the-art weight elicitation methods in a prescriptive setting and suggests several techniques for deriving criteria weights from preference statements.
Abstract: Comparatively few of the vast amounts of decision analytical methods suggested have been widely spread in actual practice. Some approaches have nevertheless been more successful in this respect than others. Quantitative decision making has moved from the study of decision theory founded on a single criterion towards decision support for more realistic decision-making situations with multiple, often conflicting, criteria. Furthermore, the identified gap between normative and descriptive theories seems to suggest a shift to more prescriptive approaches. However, when decision analysis applications are used to aid prescriptive decision-making processes, additional demands are put on these applications to adapt to the users and the context. In particular, the issue of weight elicitation is crucial. There are several techniques for deriving criteria weights from preference statements. This is a cognitively demanding task, subject to different biases, and the elicited values can be heavily dependent on the method of assessment. There have been a number of methods suggested for assessing criteria weights, but these methods have properties which impact their applicability in practice. This paper provides a survey of state-of-the-art weight elicitation methods in a prescriptive setting.

147 citations

Journal ArticleDOI
TL;DR: Based on the policy strategies in the Tisza case, data is extracted from the strategies and a framework for loss spread in developing and emerging economies is proposed and can straightforwardly be included in a simulation and decision model for policy formulation and evaluation.

115 citations

Journal ArticleDOI
TL;DR: The approach allows the decision maker to be as deliberately imprecise as he feels is natural and provides him with the means for expressing varying degrees of imprecision in the input sentences.

90 citations

Journal ArticleDOI
TL;DR: Algorithms for computing optima in decision trees with imprecise probabilities and utilities enable user interaction in decision tools and are equally applicable to all multi-linear programming problems sharing the same structure as a decision tree.

77 citations


Cited by
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01 Jan 2016

1,538 citations

Journal ArticleDOI
Paul Kline1
01 Aug 1986-Nature
TL;DR: In this article, a book is one of the greatest friends to accompany while in your lonely time and when you have no friends and activities, reading book can be a great choice.
Abstract: Feel lonely? What about reading books? Book is one of the greatest friends to accompany while in your lonely time. When you have no friends and activities somewhere and sometimes, reading book can be a great choice. This is not only for spending the time, it will increase the knowledge. Of course the b=benefits to take will relate to what kind of book that you are reading. And now, we will concern you to try reading models of man as one of the reading material to finish quickly.

1,117 citations

Journal ArticleDOI
TL;DR: The analysis has shown that most of the requirements are satisfied by the MCDA methods (although to different extents) with the exclusion of management of mixed data types and adoption of life cycle perspective which are covered by all the considered approaches.

607 citations

01 Jan 1989
TL;DR: Chickering is a Distinguished Professor of Higher Education at Memphis State University and a Visiting Professor at George Mason University as mentioned in this paper, and Gamson is a sociologist who holds appointments at the John W. McCormack Institute of Public Affairs at the University of Massachusetts-Boston, and in the Center for the Study of Higher and Postsecondary Education at University of Michigan.
Abstract: Arthur Chickering is Distinguished Professor of Higher Education at Memphis State University. On leave from the Directorship of the Center for the Study of Higher Education at Memphis State, he is Visiting Professor at George Mason University. Zelda Gamson is a sociologist who holds appointments at the John W. McCormack Institute of Public Affairs at the University of Massachusetts-Boston and in the Center for the Study of Higher and Postsecondary Education at the University of Michigan.

488 citations