Optimization of multiple satisfaction levels in portfolio decision analysis

Barbati, Maria; Greco, Salvatore; Kadziński, Miłosz; Słowiński, Roman

doi:10.1016/j.omega.2017.06.013

Cited by 49 publications

(33 citation statements)

References 74 publications

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“…Due to the fact that the original rough set theory cannot process the preferential relationships between attributes [33,34], Greco, Matarazzo, Slowinski, et al [35] expanded upon the theory. The expansion involves the replacement of indiscernibility relationships with dominant relationships in the rough approximation of decision attributes [36,37]. This replacement prevents the paradoxes that may be caused in the processing of sequential information by using the original RSA, which is based on equivalence relationships [38,39].…”

Section: Methodsologymentioning

confidence: 99%

A Novel Improvement Strategy of Competency for Education for Sustainable Development (ESD) of University Teachers Based on Data Mining

et al. 2020

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Competency for ESD (education for sustainable development) of university teachers is the key to the sustainable development of higher education. Developing teachers’ competency for ESD poses a new challenge for Chinese universities. Ideally, a new faculty development system should be established. However, this strategy is not feasible because of cost concerns, and improving competency for ESD by using the existing teacher competency training system is preferred. Therefore, this paper employed a specific data mining method to create a relationship model between the existing teacher competency system and the ESD competency according to teacher evaluation data. The developed model was used to analyze the teachers’ core competencies that are critical to ESD competency and derive decision rules for formulating improvement strategies. The teacher competency model was applied to the International Scholarly Exchange Curriculum (ISEC) program implemented at regional universities in China to conduct an empirical case study. The results of this study are anticipated to enable the formulation of an effective and appropriate strategy for improving teachers’ competency for ESD in the existing teacher development system.

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Section: Methodsologymentioning

confidence: 99%

A Novel Improvement Strategy of Competency for Education for Sustainable Development (ESD) of University Teachers Based on Data Mining

et al. 2020

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“…The second approach is more recent and takes into account the preferences of the DM using an interactive procedure. It has been proposed by [27] and applied to portfolio decision problems in [6].…”

Section: Multiobjective Methodsologies For the Space -Time Modelmentioning

confidence: 99%

“…In Table 10 we report here the corresponding strategies. Let us underline that to facilitate the understanding of the solution for the DMs, each strategy could be presented to the DM, with some graphs representing, with histograms, the values of F a,l (x) as shown in [6]. For the sake of the space we do not report here these representations.…”

Section: A Multiobjective Interactive Optimization Approachmentioning

confidence: 99%

A general space-time model for combinatorial optimization problems (and not only)

Barbati

Corrente

Greco

2020

Omega

Self Cite

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We consider the problem of defining a strategy consisting of a set of facilities taking into account also the location where they have to be assigned and the time in which they have to be activated. The facilities are evaluated with respect to a set of criteria. The plan has to be devised respecting some constraints related to different aspects of the problem such as precedence restrictions due to the nature of the facilities. Among the constraints, there are some related to the available budget. We consider also the uncertainty related to the performances of the facilities with respect to considered criteria, and plurality of stakeholders participating to the decision. The considered problem can be seen as the combination of some prototypical operations research problems: knapsack problem, location problem and project scheduling. Indeed, the basic brick of our model is a variable x ilt which takes value 1 if facility i is activated in location l at time t, and 0 otherwise. Due to the conjoint consideration of a location and a time in the decision variables, what we propose can be seen as a general space-time model for operations research problems. We discuss how such a model permits to handle complex problems using several methodologies including multiple attribute value theory and multiobjective optimization. With respect to the latter point, without any loss of the generality, we consider the compromise programming and an interactive methodology based on the Dominance-based Rough Set Approach. We illustrate the application of our model with a simple didactic example.

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“…difference between performed a thorough comparative [16] assessment of different bi-objective models as well as multi-objective one, in terms of the performance and robustness of the whole set of Pareto optimal portfolios. Barbati et al [17] proposed a different approach that enables the Decision Maker (DM) to control the distribution of good evaluations on different criteria over the projects composing a portfolio. With this aim, for each criterion we fix a certain number of reference levels corresponding to the qualitative satisfaction degrees.…”

Section: Modelmentioning

confidence: 99%

“…Finally, we studied for a data set from Iran's market to find out the trade-off between Lingo software and MATLAB. That maximizes the return on investment of the investor [17].…”

Section: Modelmentioning

confidence: 99%

Multi-period and Multi-objective Stock Selection Optimization Model Based on Fuzzy Interval Approach

Kameli¹,

Javadian

Daghbandan³

2019

IJE

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The optimization of investment portfolios is the most important topic in financial decision making, and many relevant models can be found in the literature. According to importance of portfolio optimization in this paper, deals with novel solution approaches to solve new developed portfolio optimization model. Contrary to previous work, the uncertainty of future returns of a given portfolio is modeled using LR-FUZZY numbers while the function of its return are evaluated using possibility theory. We used a novel Lp-metric method to solve the model. The efficacy of the proposed model is tested on criterion problems of portfolio optimization on LINGO provides a framework to optimize objectives when creating the loan portfoliso, in a search for a dynamic markets decision. In addition to, the performance of the proposed efficiently encoded multi-objective portfolio optimization solver is assessed in comparison with two well-known MOEAs, namely NSGAII and ICA. To the best of our knowledge, there is no research that considered NSGAΠ, ICA fuzzy simultaneously. Due to improve the performance of algorithm, the performance of this approach more study is probed by using a dataset of assets from the Iran's stock market for three years historical data and PRE method. The results are analyzed through novel performance parameters RPD method. Thus, the potential of our comparison led to improve different portfolios in different generations.

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Optimization of multiple satisfaction levels in portfolio decision analysis

Cited by 49 publications

References 74 publications

A Novel Improvement Strategy of Competency for Education for Sustainable Development (ESD) of University Teachers Based on Data Mining

A Novel Improvement Strategy of Competency for Education for Sustainable Development (ESD) of University Teachers Based on Data Mining

A general space-time model for combinatorial optimization problems (and not only)

Multi-period and Multi-objective Stock Selection Optimization Model Based on Fuzzy Interval Approach

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