19 research outputs found

    λ„€νŠΈμ›Œν¬ ꡬ쑰가 μžˆλŠ” λΉ„μš© λ°°λΆ„ λ¬Έμ œμ—μ„œμ˜ μƒ€ν”Œλ¦¬ λ°Έλ₯˜μ— κ΄€ν•œ 연ꡬ

    Get PDF
    ν•™μœ„λ…Όλ¬Έ (박사) -- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : μ‚¬νšŒκ³Όν•™λŒ€ν•™ κ²½μ œν•™λΆ€, 2021. 2. μ „μ˜μ„­.This study consists of three chapters. Each chapter addresses independent issues. However they are connected in that they are analyzing economic phenomena using a network structure and they investigate the distribution of benefits or costs arising from cooperation using cooperative game theory. The first chapter investigate positional queueing problem which is a generalized problem of the classical queueing problem. In this chapter, we obtain generalized versions of the minimal transfer rule and of the maximal transfer rule. We also investigate properties of each rules and axiomatically characterized them. The second chapter investigate the minimum cost spanning tree problems with multiple sources. We investigate the properties and axiomatic characterization of the Kar rule for the minimum cost spanning tree problems with multiple sources. The final chapter investigate the profit allocation in the Korean automotive industry using the buyer-supplier network among the vehicle manufacturers and its first-tier vendors from the perspective of cooperative game theory. Some models are constructed and the Shapley values of each models are calculated. We compare them with real profit allocation of the Korean automotive industry.λ³Έ μ—°κ΅¬λŠ” 3개의 μž₯으둜 κ΅¬μ„±λ˜μ–΄ μžˆλ‹€. 각 μž₯은 독립적인 문제λ₯Ό 닀루고 μžˆμ§€λ§Œ, κ²½μ œν•™μ  ν˜„μƒμ„ λ„€νŠΈμ›Œν¬ ꡬ쑰λ₯Ό ν™œμš©ν•˜μ—¬ λΆ„μ„ν•˜κ³  μžˆλ‹€λŠ” 것과 ν˜‘λ ₯μ—μ„œ λ°œμƒν•˜λŠ” 이읡 λ˜λŠ” λΉ„μš©μ˜ λ°°λΆ„ 문제λ₯Ό ν˜‘μ‘°μ  κ²Œμž„μ΄λ‘ μ„ ν™œμš©ν•˜μ—¬ λΆ„μ„ν•˜κ³  μžˆλ‹€λŠ” μ μ—μ„œ 각 μž₯은 μƒν˜Έ 연결성을 κ°–λŠ”λ‹€. 첫 번째 μž₯μ—μ„œλŠ” 고전적인 λŒ€κΈ°μ—΄κ²Œμž„μ„ μΌλ°˜ν™”ν•œ 문제(positional queueing problem)μ—μ„œμ˜ μ΅œμ†Œμ΄μ „κ·œμΉ™(minimal transfer rule)κ³Ό μ΅œλŒ€μ΄μ „κ·œμΉ™(maximal transfer rule)의 νŠΉμ„±μ„ λ°νžŒλ‹€. 두 번째 μž₯μ—μ„œλŠ” μ†ŒμŠ€κ°€ μ—¬λŸ¬ 개인 μ΅œμ†Œμ‹ μž₯κ°€μ§€λ¬Έμ œ(minimum cost spanning tree problem with multiple sources)μ—μ„œμ˜ μΉ΄κ·œμΉ™(Kar rule)의 νŠΉμ„±μ„ λ°νžŒλ‹€. λ§ˆμ§€λ§‰ μž₯μ—μ„œλŠ” ν•œκ΅­μ˜ μžλ™μ°¨ μ‚°μ—…μ—μ„œμ˜ μ™„μ„±μ°¨ κΈ°μ—…κ³Ό 1μ°¨ 벀더 μ‚¬μ΄μ˜ μ΄μœ€λΆ„λ°° 문제λ₯Ό ν˜‘μ‘°μ  κ²Œμž„μ΄λ‘ μ  접근법을 ν†΅ν•΄μ„œ λΆ„μ„ν•œλ‹€. 4가지 λͺ¨ν˜•μ„ κ΅¬μΆ•ν•˜κ³  각 λͺ¨ν˜•μ—μ„œ κ³„μ‚°λœ μ΄μœ€λΆ„λ°°μ™€ ν˜„μ‹€μ˜ μ΄μœ€λΆ„λ°°λ₯Ό 비ꡐ할 λ•Œ, μ™„μ„±μ°¨ κΈ°μ—…μ˜ 영ν–₯λ ₯을 κ°€μž₯ 크게 κ°€μ •ν•œ λͺ¨ν˜•μ˜ μ΄μœ€λΆ„λ°° κ²°κ³Όκ°€ ν˜„μ‹€μ˜ μ΄μœ€λΆ„λ°°μ™€ κ°€μž₯ κ·Όμ ‘ν•œ 것을 ν™•μΈν•˜μ˜€λ‹€.1. The Shapley Value in Positional Queueing Problems and axiomatic characterizations 1 1.1. Introduction 1 1.2. The Positional Queueing Problem 2 1.3. An optimistic approach and the minimal transfer rule 5 1.4. A pessimistic approach and the maximal transfer rule 8 1.5. Axioms and characterizations 21 1.6. Concluding remarks 31 Bibliography. 46 2. The Kar Solution for multi-source minimum cost spanning tree problems 49 2.1. Introduction 49 2.2. Model 50 2.3. An axiomatic characterization 51 2.4. Conclusion 62 Bibliography. 63 3. A cooperative game theoretic approach on the profit allocation of the Koreanautomotive industry 65 3.1. Introduction 65 3.2. Model 66 3.3. Analysis method 71 3.4. Analysis result 78 3.5. Conclusion 80 Bibliography. 82Docto

    Strong Demand Operator and the Dutta-Kar Rule for Minimum Cost Spanning Tree Problems

    Get PDF
    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : κ²½μ œν•™λΆ€, 2013. 2. μ „μ˜μ„­.We study the strong demand operator introduced by Granot and Huberman (1984) for minimum cost spanning tree problems. First, we review the strong demand operator. Next, we study the irreducible minimum cost spanning tree games and the irreducible core. Finally,we define a procedure with tie-breaking rule which generates an allocation from given initial allocation. In our procedure, a cost matrix is changed to its irreducible matrix before the operator is applied. We show that the Dutta-Kar allocation is obtained by applying the strong demand operator from any allocation in irreducible core.1. Introduction 1 2. Preliminaries 2 2.1 Minimum cost spanning tree problem 2 2.2 Prim algorithm 3 2.3 Rules 4 3. Strong demand operator 5 4. Irreducible minimum cost spanning tree problem 7 4.1 Irreducible matrix 7 4.2 Partition by irreducible matrix 7 5. Main results 10 5.1 Procedure with tie-breaking rule 10 5.2 Separability 11 5.3 Coincidence 12 6. Concluding remark 17Maste

    New algorithm for offset of plane domain

    No full text
    Thesis (master`s)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μˆ˜ν•™κ³Ό,1997.Maste

    ν”Όνƒ€κ³ λΌμŠ€-ν˜Έλ„κ·Έλž˜ν”„ κ³‘μ„ μ˜ 였일러-λ‘œλ“œλ¦¬κ²ŒμŠ€ ν”„λ ˆμž„

    No full text
    Thesis (doctoral)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μˆ˜ν•™κ³Ό,2002.Docto
    corecore