Dealing with group decision-making environments that have a high amount of alternatives using card-sorting techniques

Morente-Molinera, Juan Antonio; Ríos-Aguilar, Sergio; Crespo, Rubén González; Herrera‐Viedma, Enrique

doi:10.1016/j.eswa.2019.03.023

Cited by 24 publications

(7 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In future work, the aim is to introduce new gamification applications as alternatives in this course, for example, by using the group decision-making methodology based on card-sorting proposed in Morente-Molinera et al [46], to reduce the initial set of alternatives to a feasible one that experts can analyse comfortably. It is also planned to apply both methodologies to other university courses in degree and Masters programmes, especially in those cases where there are several lecturers in charge of a class, and a decision group must be formed to obtain qualitative judgements for the weighting of criteria.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy Multicriteria Models for Decision Making in Gamification

Carnero

2020

Mathematics

View full text Add to dashboard Cite

Gamification is an innovative teaching technique that may prove hugely beneficial when properly used. For this reason, since 2002, the number of situations in which gamification is used has increased exponentially. This large number of options makes it difficult to choose the best application, especially in circumstances where there is the usual uncertainty that real-life decision making involves. To address this problem, this study creates two models, one using a fuzzy analytic hierarchy process (AHP), and the other, which combines fuzzy AHP with the measuring attractiveness by a categorical-based evaluation technique (MACBETH) approach, to choose the best gamification application for the ‘Operations Management’ course, within the Masters in Industrial Engineering. This is the first contribution in the literature combining fuzzy AHP and MACBETH. The decision centre used was the lecturer who teaches the course. There is no precedent in the literature using fuzzy logic to choose the best gamification application for a course. The results of the study show that Socrative is the best gamification application for this course within the Masters, and, as the models begin to be used in degree courses, the better choice would be Quizizz, the more clearly the earlier the course is taught within the degree programme.

show abstract

Section: Discussionmentioning

confidence: 99%

“…and Socrative [44] and, furthermore, these tools are among the very few whose free version does not restrict the number of users or questions [45]. Additionally, the number of alternatives is limited because it is impossible for the experts to discuss a large number of alternatives at the same time [46].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Multicriteria Models for Decision Making in Gamification

Carnero

2020

Mathematics

View full text Add to dashboard Cite

show abstract

“…Globally, interest in soft set theory and its application has been growing rapidly in recent years. Soft set theory has been applied to decision making problem (see works by the authors of [5][6][7][8][9][10][11][12]), groups, rings, fields and modules (see works by the authors of [13][14][15][16][17]), BCK/BCI-algebras, etc. (see works by the authors of [18][19][20][21][22][23][24][25][26][27]).…”

Section: Introductionmentioning

confidence: 99%

Makgeolli Structures and Its Application in BCK/BCI-Algebras

et al. 2019

View full text Add to dashboard Cite

A fuzzy set is an extension of an existing set using fuzzy logic. Soft set theory is a generalization of fuzzy set theory. Fuzzy and soft set theory are good mathematical tools for dealing with uncertainty in a parametric manner. The aim of this article is to introduce the concept of makgeolli structures using fuzzy and soft set theory and to apply it to BCK/BCI-algebras. The notion of makgeolli algebra and makgeolli ideal in BCK/BCI-algebras is defined, and several properties are investigated. It deals with the relationship between makgeolli algebra and makgeolli ideal, and several examples are given. Characterization of makgeolli algebra and makgeolli ideal are discussed, and a new makgeolli algebra from old one is established. A condition for makgeolli algebra to be makgeolli ideal in BCK-soft universe is considered, and we give example to show that makgeolli ideal is not makgeolli algebra in BCI-soft universe. Conditions for makgeolli ideal to be makgeolli algebra in BCI-soft universe are provided.

show abstract

“…These methods create groups of alternatives making it easier for the experts to identify and comprehend them. Some examples can be seen in [46,47]. In [46], an alternative ranking base method based on clustering methods is used in order to rank the alternatives in a Group Decision Making environment.…”

mentioning

confidence: 99%

“…In [46], an alternative ranking base method based on clustering methods is used in order to rank the alternatives in a Group Decision Making environment. In [47], authors classify alternatives in different groups using a hierarchical clustering method in order to allow experts to carry out a double Group Decision Making process in order to select the best alternative.…”

mentioning

confidence: 99%

Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market

et al. 2020

Self Cite

View full text Add to dashboard Cite

Nowadays, wine has become a very popular item to purchase. There are a lot of brands and a lot of different types of wines that have different prices and characteristics. Since there is a lot of options, it is easy for buyers to feel lost among the high number of possibilities. Therefore, there is a need for computational tools that help buyers to decide which is the wine that better fits their necessities. In this article, a decision support system built over a fuzzy ontology has been designed for helping people to select a wine. Two different possible architecture implementation designs are presented. Furthermore, imprecise information is used to design a comfortable way of providing information to the system. Users can use this comfortable communication system to express their preferences and provide their opinion about the selected products. Moreover, mechanisms to carry out a constant update of the fuzzy ontology are exposed.

show abstract

Dealing with group decision-making environments that have a high amount of alternatives using card-sorting techniques

Cited by 24 publications

References 36 publications

Fuzzy Multicriteria Models for Decision Making in Gamification

Fuzzy Multicriteria Models for Decision Making in Gamification

Makgeolli Structures and Its Application in BCK/BCI-Algebras

Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market

Contact Info

Product

Resources

About