| 1. |
- Borg, Tor, et al.
(author)
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Mått på bostadsbristen : Förslag på hur återkommande bedömningar ska utföras
- 2020
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Reports (other academic/artistic)abstract
- Boverket fick i juni 2019 i uppdrag av regeringen att lämna förslag på hur återkommande bedömningar av bostadsbristen ska utföras samt att lämna förslag på enhetliga begrepp som ska användas vid kommunikation kring bostadsbristen. Avsikten är att de presenterade beräkningarna ska kunna användas i arbetet med bostadsförsörjningsfrågor och underlätta arbetet med att planera, utföra och följa upp insatser för att åtgärda bostadsbristen. Boverket har tagit fram en årlig beräkningsmodell där antalet hushåll som saknar en rimlig bostad beräknas på både nationell, regional och lokal nivå. Vad som är en rimlig bostad definieras enligt en uppsättning kriterier och normer. Kvantitativa mått visar hur många hushåll som har en boendesituation som inte uppfyller de olika kriterierna. Samråd har skett med Sveriges Kommuner och Regioner (SKR) samt med Socialstyrelsen under uppdragets gång. Båda anser att de givits utrymme att framföra sin mening och har förklarat sig nöjda med samrådet. Avstämningar har också gjorts med en rad andra aktörer. Denna rapport utgör Boverkets slutredovisning av uppdraget. Rapporten har tagits fram av en projektgrupp bestående av Tor Borg, Bengt J Eriksson, Oskar Gramstad, Ulla-Christel Götherström, Hans Jonsson, Bo Söderberg och Hang Zettervall, med den förstnämnda som projektledare.
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| 2. |
- Rakus-Andersson, Elisabeth, et al.
(author)
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Different Approaches to Operations on Continuous Fuzzy Numbers
- 2008
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In: Intuitionistic Fuzzy Sets and Generalized Nets. - Warszawa : EXIT Publishing House.
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Book chapter (peer-reviewed)abstract
- The work is particularly addressed to some beginners in performing operations on continuous fuzzy numbers. We discuss three different approaches to operations on fuzzy numbers to make comparisons of results in the aspect of their advantages and disadvantages. By demonstrating different possibilities of making calculations on fuzzy numbers we intend to help users in the proper selection of such operators that are adapted to their tasks in the most adequate way.
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| 3. |
- Rakus-Andersson, Elisabeth, et al.
(author)
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Fuzzified Clustering and Point Set Continuous Approximation in Prognosticating Gastric Cancer Surgery
- 2014
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Conference paper (peer-reviewed)abstract
- We discuss two computational techniques in the current paper. In the first part, we aim at employing FCM (fuzzy c-means) clustering to compute membership degrees of two clusters providing decisions to perform surgery or not for a testing set of 25 gastric cancer patients. The second part handles mathematical modelling of a common function approximating the information obtained from the c-means procedure. After constructing the equation of the function, we can make the decision about the surgery in the form of the surgery degree for an arbitrary gastric cancer patient. A centre, dealing with mathematical techniques concerning surgery prognoses, can quickly decide about surgery for the patient who lives in a remote place. A transmission of information among the centre and some hospitals, interested in adopting the centre services, can facilitate surgery decision-making. This trial can be treated as a contribution in the telemedicine domain.
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| 4. |
- Rakus-Andersson, Elisabeth, et al.
(author)
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Fuzzy Controllers in Evaluation of Survival Length in Cancer Patients
- 2011
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In: Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume II. - Warsaw, Poland : System Research Institute, Polish Academy of Sciences. - 9788389475367 ; , s. 203-222
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Book chapter (peer-reviewed)abstract
- Strict analytic formulas are the tools usually derived for determining the formal relationships between a sample of independent variables and a variable which they affect. If we cannot formalize the function tying the independent and dependent variables then we will utilize some control actions. Apart from crisp versions of control we often adopt their fuzzy variants developed by Mamdani and Assilian or Sugeno. Fuzzy control algorithms are furnished with softer mechanisms, when comparing them to classical control. The algorithms are particularly adaptable to support medical systems, often handling uncertain premises and conclusions. From the medical point of view it would be desirable to prognosticate the survival length for patients suffering from gastric cancer. We thus formulate the objective of the current paper as the utilization of fuzzy control actions for the purpose of making the survival prognoses.
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| 5. |
- Rakus-Andersson, Elisabeth, et al.
(author)
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Prioritisation of weighted strategies in multiplayer games with fuzzy entries of the payoff matrix
- 2010
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In: International Journal of General Systems. - : Taylor&Francis. - 0308-1079 .- 1563-5104. ; 39:3, s. 291-304
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Journal article (peer-reviewed)abstract
- We explore the classical model of a two-player game to select the best strategies, where action is expected to maintain the values of a certain variable on the neutral level. By inserting fuzzy sets as payoff values in the game matrix, we facilitate the procedure of formulations of payoff expectations by players. Instead of making inconvenient decisions about the choice of accurate numerical entries of the matrix, the players are able to use words, which should simplify communication between them when designing the preliminaries of the game. The players also have the possibility of making a ranking of their favourite strategies. At the next stage of the play, we involve group decision-making in order to aggregate results coming from several paired games, when more than two players contradict each other.
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| 6. |
- Rakus-Andersson, Elisabeth, et al.
(author)
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Ranking of Weighted Strategies in the Two-Player Games with Fuzzy Entries of the Payoff Matrix
- 2008
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Conference paper (peer-reviewed)abstract
- We expand the classical model of a two-player game to select the best strategies, whose action is expected to maintain the values of a certain variable on the neutral level. By inserting fuzzy sets as payoff values in the game matrix we facilitate the procedure of formulations of payoff expectations by players. Instead of making difficult decisions about the choice of accurate numerical entries of the matrix the players are able to use words, which should simplify a communication between them when designing the preliminaries of the game. The players also have the possibility of making a ranking of their favorite strategies.
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| 7. |
- Rakus-Andersson, Elisabeth, et al.
(author)
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Two-Player Games with Fuzzy Entries of the Payoff Matrix
- 2008
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Conference paper (peer-reviewed)abstract
- We expand the classical model of a two-player game by inserting of fuzzy sets as payoff values in the game matrix. Players can thus formulate their payoff expectations with words instead of deciding on numerical entries of the matrix. In this way we count on the better verbal communication between players when designing the preliminaries of the game. As a final result we expect to obtain samples of the players’ optimal strategies, which will preserve the profit of the game on the neutral level.
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| 8. |
- Zettervall, Hang, et al.
(author)
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Applied Fuzzy C-means Clustering to Operation Evaluation for Gastric Cancer Patients
- 2013
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Conference paper (peer-reviewed)abstract
- Like data analysis, pattern recognition and data mining, fuzzy clustering also has been applied widely, and successful applications have been reported. In this paper we aim to employ the technique of fuzzy c-means (FCM) cluster to prognosticate the operation possibility on gastric cancer patients. Our purpose is to partition some clinical data in two fuzzy clusters. One of them considers patients who have a chance for successful surgery whereas the other cluster contains the patients without a view for surgery. Each patient is given by characteristic biological markers. The initial values of membership degrees taking place in the partition matrix are usually determined randomly. In this work we will use particularly designed membership functions to calculate the degrees of membership.
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| 9. |
- Zettervall, Hang, et al.
(author)
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Applied Multi-Expert Decision Making Issue Based on Linguistic Models for Prostate Cancer Patients
- 2013
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Conference paper (peer-reviewed)abstract
- Abstract—In this paper, two models, one is called the probabilistic model and the other is known as the model of 2-tuple fuzzy linguistic representations, are applied to solve multi-expert decision making issues (MEDM). A MEDM problem is considered, in which a group of physicians are independently asked about assessing the effectiveness of a set of treatment therapies for a prostate cancer patient. The objective of this paper is to find the most common judgment by means of these two models. Moreover, fuzzy linguistic terms are used to express the experts’ opinions and s-parametric membership functions are designed to depict the fuzzy linguistic terms.
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| 10. |
- Zettervall, Hang
(author)
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Fuzzy and Rough Set Theory in Treatment of Elderly Gastric Cancer Patients
- 2011
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Licentiate thesis (other academic/artistic)abstract
- Fuzzy set theory was presented for the first time by Professor Lotfi A. Zadeh from Berkeley University in 1965. In conventional binary logic a statement can be true or false, and there is no place for even a little uncertainty in this judgment. An element either belongs to a set or does not. We call these kinds of sets crisp sets. In practice we often experience those real situations that are represented by crisp sets as impossible to describe accurately. A two-valued logic assumes that precise symbols must be employed, and it is therefore not applicable to the real existence. If the information demanded by a system is lacking, the future state of such a system may not be known completely. One of the instruments used to handle the vagueness in the real-world situations is fuzzy set theory, which has been frequently applied in a wide range of areas like, e.g., dynamic systems, militaries, medicine and other domains. Another theory, which copes with the problem of imprecision, is known as rough set theory. It was proposed by Professor Zdzisław Pawlak in Warsaw in the 1980ties. Whereas imprecision is expressed in the category of a membership degree in fuzzy set theory, this is a matter of the set approximation in rough set theory. Due to the definition of a rough set formulated by means of the decision attribute value, two approximate sets of the rough set are determined. These contain sure and possible members of the universe considered, in which the rough set has been defined. One of the objectives of this study is to apply some classical methods of fuzzy set theory to medicine in order to estimate the survival length of gastric cancer patients. We have decided to test the action of fuzzy controllers of the Mamdani and Sugeno type. Two clinical markers, playing roles of the independent variables, have been included in the algorithm as the base information assisting the survival prognosis. Since the model results have been convergent to the expected experimental values then we will intend to make some extensions of the model concerning the larger number of independent variables. We have also utilized rough set classification, to verify the types of operations. These items are discussed in the thesis in conformity with the physicians’ wishes to support results of statistical investigations. The current research is funded by the scientific grant obtained from Blekinge Research Board.
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