• Title/Summary/Keyword: fuzzy decision making

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Integrity Assessment for Reinforced Concrete Structures Using Fuzzy Decision Making (퍼지의사결정을 이용한 RC구조물의 건전성평가)

  • 손용우;정영채;김종길
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.17 no.2
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    • pp.131-140
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    • 2004
  • It really needs fuzzy decision making of integrity assessment considering about both durability and load carrying capacity for maintenance and administration, such as repairing and reinforcing. This thesis shows efficient models about reinforced concrete structure using CART-ANFIS. It compares and analyzes decision trees parts of expert system, using the theory of fuzzy, and applying damage & diagnosis at reinforced concrete structure and decision trees of integrity assessment using established artificial neural. Decided the theory of reinforcement design for recovery of durability at damaged concrete & the theory of reinforcement design for increasing load carrying capacity keep stability of damage and detection. It is more efficient maintenance and administration at reinforced concrete for using integrity assessment model of this study and can carry out predicting cost of life cycle.

Group Decision Making for Selecting Alternatives with Fuzzy and Crisp Data (퍼지 및 크리스프 데이타를 입력으로 하는 대안선택을 위한 그룹의사결정)

  • 정현태;정현석
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.37
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    • pp.21-29
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    • 1996
  • It is very important to select the best alternative for a manufacturing enterprise. However, more often than not this work is carried out unsatisfactorily. In this paper, we will present a new model for evaluating alternatives. Two main results derived from this paper are as follows: 1. A selection model of alternative is suggested that each decision maker's opinion is equally evaluated and the preference of each attribute can also be considered simultaneously. 2. A proposed method is especially effective to analyze a data structure with fuzzy and crisp data.

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Modeling of decision-makers negotiations in reservoir operation with respect to water quality and environmental issues

  • Mojarabi-Kermani, A.R.;Shirangi, Ehsan;Bordbar, Amin;Bedast, A.A. Kaman;Masjedi, A.R.
    • Membrane and Water Treatment
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    • v.9 no.6
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    • pp.421-434
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    • 2018
  • Decision-makers have different and sometimes conflicting goals with utilities in operating dam reservoirs. As repeated interactions exist between decision-makers in the long-term, and the utility of each decision-making organization is affected not only by its selected strategy, but also by other rivals' strategies; selecting and prioritizing optimum strategies from a decision maker's point of view are of great importance while interacting with others. In this paper, a model based on a fuzzy set theory, for determining the priority of decision-makers' strategies in optimal qualitative-quantitative operation management of dam reservoir is presented. The fuzzy priority matrix is developed via defining membership functions of a fuzzy set for each decision maker's strategies, so that all uncertainties are taken into account. This matrix includes priorities assigned to possible combination for other decision makers' strategies in bargaining with each player's viewpoint. Here, the 15-Khordad Dam located in the central part of Iran, suffering from low water quality, was studied in order to evaluate the effectiveness of the model. Then, the range of quality of water withdrawal agreed by all decision-makers was determined using the prioritization matrix based on fuzzy logic. The results showed that the model proposed in the study had high effectiveness model.

Applying the Fuzzy Decision-Making Method for Program Evaluation and Management Policy of Vietnamese Higher Education

  • TONG, Kiet Hao;NGUYEN, Quyen Le Hoang Thuy To;NGUYEN, Tuyen Thi Mong;NGUYEN, Phong Thanh;VU, Ngoc Bich
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.719-726
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    • 2020
  • Education policy is a dynamic process featuring social development trends. The world countries have focused their education program on empowering the learners for future life and work. This paper aims to assess the higher education curriculum based on a survey of 280 students, employers, alumni, and lecturers in both social sciences and natural sciences in Ho Chi Minh City, Vietnam. The fuzzy decision-making method, namely the Fuzzy Extent Analysis Method (F-EAM), was applied to measure the relative weight of each parameter. Seven factors under the curriculum development have been put in the ranking. Input with emphasis on foreign language was the highest priority in curriculum development, given the expected demand of the labor market. Objective and learning outcome and teaching activities ranked second and third, respectively. The traditional triangle of teaching content, methodology, and evaluation and assessment are still proven their roles, but certain modifications have been defined in the advanced curriculum. Teaching facilities had the least weight among the seven dimensions of curriculum development. The findings are helpful for education managers to efficiently allocate scarce resources to reform the curriculum to bridge the undergraduate quality gap between labor supply and demand, meeting the dynamic trends of social development.

Application of Fuzzy Logic to Smart Decision of Smart Sensor System

  • Pham, Van-Su;Linh Mai;Giwan Yoon;Kim, Dong-Hyun
    • Journal of information and communication convergence engineering
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    • v.1 no.4
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    • pp.174-176
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    • 2003
  • This paper considers the application of Fuzzy Logic to Smart Decision process of Smart Sensor system that interprets and response to the change of environmental parameters. The considered system consists of three sensors: temperature sensor, humidity sensor and pressure sensor. The smartness of system is constituted by the applying of Fuzzy Logic. The paper discusses the technical details of the application of Fuzzy Logic for making the system to be smarter.

Prioritizing Service Supply-Chain Performance Measures Using Multi-Criteria Decision-Making Methodologies

  • ABBAS, Haidar;ALAWI, Alamir Al;MAKTOUMI, Khadija Al
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.843-851
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    • 2020
  • This study focuses on identifying and prioritizing the broader performance measures for the service supply chains by taking the case of Majan Electricity Company, Sohar, in the Sultanate of Oman. For an examination of the uniformity of ultimate objectives and the priorities therein, two strata of respondents with a total of fourteen respondents were approached for their valuable insights. Suitable structured instruments were personally administered to elicit the insightful and worthy responses. The two multi-criteria decision-making techniques, namely, the Fuzzy Analytical Hierarchy Process and the Best-Worst Method were used to reach a meaningful prioritization of the identified and refined broader performance measurement dimensions. The results show that there exists a minor gap between the two respondents' groups in terms of their prioritizations. The major finding points to the difference in terms of the topmost priorities as revealed by the two set of respondents. For one group of respondents, the customer satisfaction matters the most, whereas for the other group, it is the overall profitability that matters the most. This gap against the utopian state assists in concluding that there is a requirement to reorient the employees so as to have a shared and common understanding of the organizational priorities.

Cell Selection Method using Multi-Criteria Decision Making in Heterogeneous Networks (이종 망에서 퍼지 다기준 의사 결정을 이용한 셀 선정 방법)

  • Lee, Jong-Chan;Park, Sang-Joon
    • Journal of the Korea Society for Simulation
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    • v.17 no.3
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    • pp.1-8
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    • 2008
  • It is essential to maintain constant QoS despite of cell overload or erroneous wireless link during transmission because QoS of a multimedia service may be severely degraded by small delay or packet loss. This paper deals with a cell selection method for supporting the QoS of multimedia services over heterogeneous networks. The proposed scheme is based on Fuzzy Multi-Criteria Decision Making (FMCDM), in which uncertain parameters such as user system preference, the communication cost and cell load, and the transmission delay are used in the decision process using the aggregation function in fuzzy set theory. In this scheme, errors in the evaluation parameters impose milder changes on the total evaluation value than in binary logics. Simulation is focused on the average delay and packet loss rate, and the simulation results show that our proposed method provides mobile terminals the optimal performance.

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Using an Evaluative Criteria Software of Optimal Solutions for Enterprise Products' Sale

  • Liao, Shih Chung;Lin, Bing Yi
    • Journal of Distribution Science
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    • v.13 no.4
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    • pp.9-19
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    • 2015
  • Purpose - This study focuses on the use of evaluative criteria software for imprecise market information, and product mapping relationships between design parameters and customer requirements. Research design, data, and methodology - This study involved using the product predicted value method, synthesizing design alternatives through a morphological analysis and plan, realizing the synthesis in multi-criteria decision-making (MCDM), and using its searching software capacity to obtain optimal solutions. Results - The establishment of product designs conforms to the customer demand, and promotes the optimization of several designs. In this study, the construction level analytic method and the simple multi attribute comment, or the quantity analytic method are used. Conclusions - This study provides a solution for enterprise products' multi-goals decision-making, because the product design lacks determinism, complexity, risk, conflict, and so on. In addition, the changeable factor renders the entire decision-making process more difficult. It uses Fuzzy deduction and the correlation technology for appraising the feasible method and multi-goals decision-making, to solve situations of the products' multi-goals and limited resources, and assigns resources for the best product design.

Adaptive Fuzzy Control for a DC Mmotor Using Weight Tuning Algorithm (가중치 조정 알고리즘을 이용한 직류 전동기의 적응 퍼지제어)

  • 손재현;지성현;전병태;임종광;남문현
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.360-363
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    • 1993
  • Fuzzy Logic Control immitating human decision making process is a novel control strategy based on expert's experience and knowledge and many process designers are developing its applications. But it is difficult to obtain a set of rules from human operator. And there is a limitation on adjusting to environmental changes. In this paper, we proposed adaptive fuzzy algorithm to overcome these difficulties using weights added to the rules. To verify the validity of this control strategy, we have implemented this algorithm for a DC servo motor with PD-type fuzzy controller.

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Architecture for Complex Inference Method

  • Lim, M.H.;Leong, J.Y.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.989-992
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    • 1993
  • In this paper, we describe hardware architecture of fuzzy processors for reasoning involving fuzzy control“Heuristics”. This we believe will lead to fuzzy systems that are closer to the way humans process domain knowledge for decision making. One noticeable beneficial effect based on our notion of fuzzy heuristics is the significantly reduced number of rules required.

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