Although internal rate of return (IRR) has been studied extensively, addressing uncertainty in cash flows for the calculation of IRR has been relatively neglected. In this study, we propose an optimistic and a pessimi...
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ISBN:
(纸本)9789812799463
Although internal rate of return (IRR) has been studied extensively, addressing uncertainty in cash flows for the calculation of IRR has been relatively neglected. In this study, we propose an optimistic and a pessimistic fuzzy relation based approach to IRR, and define the investment decision procedure. Finally, we apply the proposed procedure to a simple project example, and investigate the PV-consistency for the decision.
Generating personalized recommendations for new users is particularly challenging, because in this case, the recommender system has little or no user record of previously rated items. Connecting the newcomer to an und...
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ISBN:
(纸本)9789812799463
Generating personalized recommendations for new users is particularly challenging, because in this case, the recommender system has little or no user record of previously rated items. Connecting the newcomer to an underlying trust network among the users of the recommender system alleviates this so-called cold start problem. In this paper, we study the effect of guiding the new user through the connection process, and in particular the influence this has on the amount of generated recommendations. Experiments on a dataset from *** support the claim that it is more beneficial for a newcomer to connect to an identified key figure instead of to a random user.
Fuzzy numbers do not always show a completely orderly group as can be done with real numbers. In applications of problems of multi-attribute decision making, when the final valuations are fuzzy, it is very difficult t...
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ISBN:
(纸本)9789812799463
Fuzzy numbers do not always show a completely orderly group as can be done with real numbers. In applications of problems of multi-attribute decision making, when the final valuations are fuzzy, it is very difficult to distinguish the best possible alternative and the ranking of them. This paper develops an evaluation approach based on the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). In this approach, one step that is necessary to take into consideration is that related with the normalization.
A model for text analysis based on a real bag is developed in which a novel concept of bag neighborhood is used which takes nearness of words in a text sequence is taken into account. A condition such that a bag neigh...
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ISBN:
(纸本)9789812799463
A model for text analysis based on a real bag is developed in which a novel concept of bag neighborhood is used which takes nearness of words in a text sequence is taken into account. A condition such that a bag neighborhood defines a kernel that has been used in support vector machines is given. As a result kernel-based methods of data analysis can be applied to this model. Application to a set of medical incident report is studied using an algorithm of medoid clustering and principal component analysis.
This paper presents a new decision making procedure, the majority judgement, recently introduced by Balinski and Laraki, and contrasts it with the well-known 2-tuple representation model.
ISBN:
(纸本)9789812799463
This paper presents a new decision making procedure, the majority judgement, recently introduced by Balinski and Laraki, and contrasts it with the well-known 2-tuple representation model.
In this paper we consider mixture operators to aggregate individual preferences and we characterize those that allow us to extend some majorities rules, such as simple, Pareto and absolute special majorities, to the f...
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ISBN:
(纸本)9789812799463
In this paper we consider mixture operators to aggregate individual preferences and we characterize those that allow us to extend some majorities rules, such as simple, Pareto and absolute special majorities, to the field of gradual preferences.
Given a set of points in the plane, we find the fitting ellipse by considering the sum of the Euclidean distances of the given points to the ellipse. Our approach to this optimization problem is of a hybrid kind using...
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ISBN:
(纸本)9789812799463
Given a set of points in the plane, we find the fitting ellipse by considering the sum of the Euclidean distances of the given points to the ellipse. Our approach to this optimization problem is of a hybrid kind using two heuritics: Differential Evolution (DE) and classical Nelder-Mead algorithm. DE is used as a coarse search method that gives an initial point to Nelder-Mead, and then it performs an efficient local search. We test our approach with several simulations and we illustrate better performances against DE alone.
In this paper an introduction to the citizen participation in electronic government is presented, A new participation model is described through mobile technologies and linguistic information. This model can produce n...
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ISBN:
(纸本)9789812799463
In this paper an introduction to the citizen participation in electronic government is presented, A new participation model is described through mobile technologies and linguistic information. This model can produce new environments where to increase the citizen contribution in the government of cities and countries.
Experiment design often involves multiple objectives and uncertain data in its optimizing process. Fuzzy multi-objective linear programming (FMOLP) is an appropriate method to handle this problem. For the case of mode...
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ISBN:
(纸本)9789812799463
Experiment design often involves multiple objectives and uncertain data in its optimizing process. Fuzzy multi-objective linear programming (FMOLP) is an appropriate method to handle this problem. For the case of modeling nonwoven-based resilient product experiment design, we first obtain the parameter values of objectives functions from a set of experiments. As these parameter values are in the form of distributions, we transfer them into membership functions and then formulate a FMOLP model. We finally develop a fuzzy multi-objective decision support system (FMODSS) to present this model and get a solution of this problem.
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