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Solving semi-formalized and semi-structured tasks on the basis of a case-based reasoning (CBR) provides to use the accumulated knowledge and experience. Wherein, sometimes it is necessary to improve CBR results, for example, to reduce the set of possible solutions and to ground their correctness not only with the use of a similarity measure. One way to solve this problem is to use mathematical mul...Show More
Concerns about scientific publications have been flourishing in Indonesia. Consequently, the number of published journals in e-journal has been rapidly increasing over the past few years. The growing trend of e-journal hence requires a decision support system in its application. The DSS will help the reviewers in determining the eligibility of an article in the journal's verification process. Seve...Show More
Forecasting the number of sales is an effort for forecasting the number of product sales for a certain period in the future. The company's failure to supply products will have negative effects on the quality of service to customers, thereby reducing the company's competitiveness. One of the critical success factors on forecasting the number of sales is determining the criteria required by the deci...Show More
Decision modelling looks to be an ideal decision support tool to help decision makers and analysts for representing complex decision in a clear and convenient graphical representation. This research work presents an overview on decision modelling, and discuss the most known decision modelling methods as well as tools supporting these methods available in the marketplace, in order to highlight the ...Show More
Hybrid methods are particularly useful for building diagnostic models based on biomedical data due to the wide variety of data types that are routinely encountered. Evaluation of the effectiveness of hybrid systems is complicated when multiple methods are combined to reach a conclusion. In the work described here, methods for combining results based on the general reliability of each model as well...Show More
In group decision making, decision-makers have their criteria for making decisions so that the decision-making parameters have a multi-criteria nature. Things like this often happen in dynamic environments. One example of a multicriteria problem in a dynamic environment is when the Inspectorate Work Unit examines corruption cases. In one corruption case, there are many criteria (multi-criteria), a...Show More
The increasing consumption of Indonesian fish makes fishmonger to be selective in presenting quality fish to consumers. This research made to select fish, especially snappers, namely red snapper and white snapper quality using four parameters including fish price, weight, eye color and gill color, into a computer-based decision support system. By using two decision support systems that have been c...Show More
TODIM method (an acronym in Portuguese of Interactive and Multicriteria Decision Making) has attracted the attention of many scholars and achieved much success in multi-criteria decision making. Linguistic expression, as a qualitative information representation form, is much closer to human's cognition than specific numerical values. This paper combines the classical TODIM method with the continuo...Show More
Cholecystitis is a common disease with a high incidence, and attracts much attention. It not only harms human health, but also affects quality of work and life. Therefore, the choice of a suitable treatment is badly important for patients. In this paper, a novel selection model of treatments for cholecystitis based on hybrid multiple-criteria group decision-making (MCGDM), which is helpful to choo...Show More
The purpose of this paper is to propose a solution to reduce the number of candidate alternatives in a Multi-Criteria Decision-Making problem. The majority of Multi-Criteria Decision-Making methods suppose a limited number of alternatives, whereas, in the context of massive data processing, such as in Big Data, this condition is no longer necessarily verified. In the proposed solution, as a first ...Show More
Traditional software for solving multiple criterion decision making (MCDM) problem are built in personal computer framework with expensive price. In this paper we propose a free online module for fuzzy MCDM based on VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method and open source tools. Users can build their own problems by defining fuzzy membership, decision matrix, and weights...Show More
Classification problem is a significant topic in machine learning which aims to teach machines how to group together data by particular criteria. In this paper, a framework for ensemble learning (EL) method based on group decision making (GDM) has been proposed to resolve this issue. In this framework, base learners can be considered as decision makers, different categories can be seen as alternat...Show More
Crisp values are insufficient to model real-life situations and vague concepts are frequently represented in multicriteria decision aid. Intuitionistic fuzzy set theory ensures successful outcomes when treating vagueness information. Furthermore, to avoid project failures, imply group of decision makers in the decision process can be beneficial for selecting the optimal solution. As results, this ...Show More
To address the situation where the complete consistency is unnecessary, a stepwise optimization model-based method for testing the acceptably additive consistency (AAC) of hesitant fuzzy preference relations (HFPRs) is introduced. Then, an AAC concept for HFPRs is defined. Meanwhile, incomplete HFPRs (iHFPRs) are discussed and a series of optimization models to acquire complete HFPRs is constructe...Show More
In the research of multi-attribute decision-making (MADM), the best-worst method is now regarded as promising to support decision-makers in solving discrete multi-criteria decision problems. To extend its capabilities in handling data vagueness and decision makers’ ambiguity, the fuzzy best worst method (FBWM) was introduced in 2017. However, its group decision-making capability using different ag...Show More
Group Decision Support System (GDSS) is suitable if used in decision-related meeting as a medium for them to share ideas, extract and analyze the information, and making decision. However, making decision is more complex where multiple criteria, conflict, and judgment need to be considered, which referred to as Multi-Criteria Decision Making (MCDM). Therefore, a suitable technique is preferred to ...Show More
Ideological and political education has played a huge role in the history of Chinese revolution and construction. In order to further implement the fundamental requirements of Lide to cultivate people, effectively change the problem of emphasizing intelligence and neglecting morality, pursuing only scores and admission rate, and not paying enough attention to students’ sense of social responsibili...Show More
Delays are costly to airlines in both money and image. A significant number of delays is caused by unexpected technical failures of aircraft systems or components. These failures, if not dealt with efficiently, can cause disruptions in the flight schedule and network. The annual costs of these type of disruptions add up to an estimated cost of € 2.8 billion in Europe alone. Determining the optimal...Show More
In this paper, a rule-based automatic sleep staging method was proposed. Twelve features, including temporal and spectrum analyses of the EEG, EOG, and EMG signals, were utilized. Normalization was applied to each feature to reduce the effect of individual variability. A hierarchical decision tree, with fourteen rules, was constructed for sleep stage classification. Finally, a smoothing process co...Show More
With the continuous improvement of people's living standards, outbound travel is already a part of people's daily life. Railway is one of the most important ways to travel, and its popularity has increased with the development of highspeed railway, but it also accompanied by a variety of emergencies. When these emergencies occur, it will cause property losses, and even casualties, so how to reduce...Show More
This study employs the framework of Web services in conjunction with Bayesian theorem and decision trees to construct a Web-services-based decision support system for medical diagnosis and treatment. The purpose is to help users (physicians) with issues pertinent to medical diagnosis and treatment decisions. Users through the system key in available prior probability and through computation based ...Show More
In Multi-criteria-group decision making (MCGDM) problems dealing with qualitative information, the experts express their judgments about alternatives according to their degree of knowledge. It is difficult that experts provide precisely their preference about alternatives according to criteria. The interval rough number (IRN) achieved a high attraction to handle this ambiguity in many MCGDM proble...Show More
One of the government programs in the distribution of development is to pay attention to disadvantaged villages or areas in terms of poor living, including uninhabitable housing where the roof of the house is damaged, the wall is not worth using. For that the government provides home surgery assistance to poor families throughout Indonesia. This program has been running for several years. But in r...Show More
Decision support systems (DSS) are valuable tools for information management and decision making guidance, and are vital in decision environments that are inherently dynamic or that leverage a time pressure on the operator. In this work, we detail the application and effectiveness of several decision support techniques in a time-limited decision environment. These techniques, namely heuristic (HIA...Show More
The aim of this paper is to present the application of six Multi-Criteria Decision Making techniques to evaluate information system success. These methods are Weighted Sum Method (WSM), Weighted Product Method (WPM), Analytical Hierarchy Process (AHP), Revised AHP, technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Simple Multi-Attribute Ranking (SMART), which are applied ...Show More