• Title/Summary/Keyword: Multi-Attribute Decision Making (MADM)

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DEVELOPMENT OF EMEVATOR GROUP SUPERVISIRY SYSTEM WITH FUZZY MADE

  • Park, Hee-Chul;Lee, See-Hun;Choi, Don;Woo, Kwang-Bang
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.390-394
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    • 1994
  • A elevator group supervisory system is designed to perform efficient operation of multiple elevators, and its basic function is to assign an appropriate elevator to a given hall-cell. In this paper, in order to improve elevator group control performance, we propose a new dispatching system which includes fuzzy multi-attribute decision making(MADM). In most cases, the purpose of group control is to maximize control goals as much as possible. Unfortunately, the decision of optimal elevator to a given hall cell is made with very uncertain information of the system, and some of control goals are related each other. The uncertainty is mainly resulted from car calls generated by serving hall calls. A fuzzy MADM algorithm is proposed to deal with these problems to improve system performance.

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Deriving Weights in The Multiattribute Decision Making with Imprecise Pairwise Comparison (부정확한 쌍대비교정보를 갖는 댜요소의사결정문제에서의 가중치 산출)

  • 정병호;조권익
    • Journal of the Korean Operations Research and Management Science Society
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    • v.19 no.2
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    • pp.75-84
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    • 1994
  • The uncertainty in the relative weights of a pairwise comparison matrix n Multi-attribute Decision Making (MADM) is caused by imprecise preference information of decision maker. In this paper, it is shown how weight of attributes can be derived from the pairwise comparison matrix with interval pairwise comparison. The preference information of each pair of attributes with a point pairwise comparison is combined with an interval pairwise comparison in order to estimate a point pairwise comparison for a pair of attributes with the imprecise preference information. A numerical example shows the suggested procedure for deriving weights of attributes.

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An interactive approach to select optimal solution in MADM situations (다속성 의사결정문제의 최적대안 선정을 위한 대화형 접근방법)

  • 이강인;조성구
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.04a
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    • pp.978-989
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    • 1995
  • 현실적으로 다속성 의사결정(Multi-Attribute Decision-Making:MADM)문제들은 대안과 속성의 수가 매우 많은 것이 보통이기 때문에 이것을 모두 합리적으로 고려하여 최적의 대안을 선정한다는 것은 매우 어려운 일이다. 지금까지 연구 개발된 기존의 수리적 방법들은 주어진 문제에 대한 제약을 가하여 최적해(optimal solution)를 구할 수 있지만 의사결정자들의 입장을 정확히 반영하지 못하는 경우가 대부분이며, 이를 개선하기 위한 기존의 대화형 접근방법은 고려해야 할 대안과 속성의 수가 많아지면 대안 간의 쌍비교등을 통하여 의사결정자가 제공해야 하는 정보의 양이 기하급수적으로 증가한다는 어려움과 함께 최적해가 보장되지 못하는 문제점이 있다. 따라서, 본 연구의 목적은 대안과 속성의 수가 매우 큰 의사결정상황 하에서 의사결정자가 중요하다고 생각하는 속성의 그룹부터 단계적으로 고려해 가면서 대안의 수를 점차적으로 감소시킬 수 있는 보다 효율적인 대화형 접근방법을 구축하는데 있다.

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글로벌 협업 전자상거래를 위한 유사상품 탐색 알고리즘

  • 최상현;조윤호
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2004.11a
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    • pp.211-220
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    • 2004
  • This paper suggests a collaborative business process between the companies that each has a restricted physical branch in its own area and wants to extend globally sales and delivery service. The companies integrate their business processes for sales and delivery using a shared product taxonomy table. We also suggest a similar product finding algorithm to make the product taxonomy table that defines product relationships to exchange them between the companies. The main idea of the proposed algorithm is using a multi-attribute decision making (MADM) to find the utility values of products in a same product class of the companies. Using the values we determine what products are similar. It helps the product manager to register the similar products into a same product sub-category. The companies then allow consumer to shop and purchase the products at their own residence site and deliver them or similar products to another sites.

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Design of a Real Estate Knowledge Information System Based on Semantic Search (시맨틱 검색 기반의 부동산 지식 정보시스템 설계)

  • Cho, Jae-Hyung;Kang, Moo-Hong
    • Journal of Korea Society of Industrial Information Systems
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    • v.16 no.2
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    • pp.111-124
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    • 2011
  • The apartment' share of the housing has steadily increased and property assets have been valued in importance as the one of asset value. Information retrieval system using internet is particularly active in the real estate market. However, user satisfaction on real estate information system is not very high, and there is a lack of research on real estate retrieval to increasing efficiency until now. This study presents a new knowledge information system developed to consider region-related factor and individual-related factor in the real estate market. In addition it enables a real estate knowledge system to search various preferential requirements for buyers such as school district, living convenience, easy maintenance as well as price. We made a survey of the search condition preference of experts on 30 real estate agents and then analyzed the result using AHP methodology. Furthermore, this research is to build apartment ontology using semantic web technologies to standardize various terminologies of apartment information and to show how it can be used to help buyers find apartments of the interest. After designing architecture of a real estate knowledge information system, this system is applied to the Busan real estate market to estimate the solutions of retrieval through Multi-Attribute Decision Making(MADM). Based on the results of the analysis, we endowed the buyer and expert's selected factors with weights in the system. Evaluation results indicate that this new system is to raise not only the value satisfaction of user, but also make it possible to effectively search and analyze the real estate through entropy analysis of MADM. This new system is to raise not only the value satisfaction of buyer's real estate, but also make it possible to effectively search and analyze the related real estate, consequently saving the searching cost of the buyers.

A Similar Product Recommendation System Development for Implementing a Collaborative Commerce Model (협업적 전자상거래 비즈니스 모델 구현을 위한 유사상품 추천 시스템 개발)

  • Choi, Sang-Hyun;Jeon, Young-Jun
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.05a
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    • pp.332-339
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    • 2005
  • We developed a similar product recommendation system for implementing a collaborative commerce model between the cooperating companies. The system is based on a similar product finding algorithm. The main idea of the proposed algorithm is using a multi-attribute decision making(MADM) to find the utility values of products in same product class of the companies. Based on the values we determine what products are similar. The system helps the companies to recommend products in accordance with the customer's preferences regarding product specifications.

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Global Collaborative Commerce: Its Model and Procedure (글로벌 협업 전자상거래를 위한 모형 및 절차)

  • Choi, Sang-Hyun;Cho, Yoon-Ho
    • The Journal of Society for e-Business Studies
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    • v.9 no.4
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    • pp.19-36
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    • 2004
  • This paper suggests a business process between the collaborative companies that want to extend globally sales and delivery service with restricted physical branches in their own areas. The companies integrate their business processes for sales and delivery services using a shared product taxonomy table. In order to perform the collaborative processes, they need the algorithm to exchange their own products. We suggest a similar product finding algorithm to compose the product taxonomy table that defines product relationships to exchange them between the companies. The main idea of the proposed algorithm is using a multi-attribute decision making (MADM) to find the utility values of products in a same product class of the companies. Based on the values we determine what products are similar. It helps the product manager to register the similar products into a same product sub-category. The companies then allow consumer to shop and purchase the products at their own residence site and deliver them or similar products to another sites.

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FARS: A Fairness-aware Routing Strategy for Mobile Opportunistic Networks

  • Ma, Huahong;Wu, Honghai;Zheng, Guoqiang;Ji, Baofeng;Li, Jishun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.5
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    • pp.1992-2008
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    • 2018
  • Mobile opportunistic network is a kind of ad hoc networks, which implements the multi-hop routing communication with the help of contact opportunity brought about by the mobility of the nodes. It always uses opportunistic data transmission mode based on store-carry-forward to solve intermittent connect problem of link. Although many routing schemes have been proposed, most of them adopt the greedy transmission mode to pursue a higher delivery efficient, which result in unfairness extremely among nodes. While, this issue has not been paid enough attention up to now. In this paper, we analyzed the main factors that reflect fairness among nodes, modeled routing selection as a multiple attribute decision making problem, and proposed our Fairness-aware Routing Strategy, named FARS. To evaluate the performance of our FARS, extensive simulations and analysis have been done based on a real-life dataset and a synthetic dataset, respectively. The results show that, compared with other existing protocols, our FARS can greatly improve the fairness of the nodes when ensuring the overall delivery performance of the network.