19 research outputs found
λ€νΈμν¬ κ΅¬μ‘°κ° μλ λΉμ© λ°°λΆ λ¬Έμ μμμ μ€ν리 λ°Έλ₯μ κ΄ν μ°κ΅¬
νμλ
Όλ¬Έ (λ°μ¬) -- μμΈλνκ΅ λνμ : μ¬νκ³Όνλν κ²½μ νλΆ, 2021. 2. μ μμ.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΅¬λ 3κ°μ μ₯μΌλ‘ ꡬμ±λμ΄ μλ€. κ° μ₯μ λ
립μ μΈ λ¬Έμ λ₯Ό λ€λ£¨κ³ μμ§λ§, κ²½μ νμ νμμ λ€νΈμν¬ κ΅¬μ‘°λ₯Ό νμ©νμ¬ λΆμνκ³ μλ€λ κ²κ³Ό νλ ₯μμ λ°μνλ μ΄μ΅ λλ λΉμ©μ λ°°λΆ λ¬Έμ λ₯Ό νμ‘°μ κ²μμ΄λ‘ μ νμ©νμ¬ λΆμνκ³ μλ€λ μ μμ κ° μ₯μ μνΈ μ°κ²°μ±μ κ°λλ€. 첫 λ²μ§Έ μ₯μμλ κ³ μ μ μΈ λκΈ°μ΄κ²μμ μΌλ°νν λ¬Έμ (positional queueing problem)μμμ μ΅μμ΄μ κ·μΉ(minimal transfer rule)κ³Ό μ΅λμ΄μ κ·μΉ(maximal transfer rule)μ νΉμ±μ λ°νλ€. λ λ²μ§Έ μ₯μμλ μμ€κ° μ¬λ¬ κ°μΈ μ΅μμ μ₯κ°μ§λ¬Έμ (minimum cost spanning tree problem with multiple sources)μμμ μΉ΄κ·μΉ(Kar rule)μ νΉμ±μ λ°νλ€. λ§μ§λ§ μ₯μμλ νκ΅μ μλμ°¨ μ°μ
μμμ μμ±μ°¨ κΈ°μ
κ³Ό 1μ°¨ λ²€λ μ¬μ΄μ μ΄μ€λΆλ°° λ¬Έμ λ₯Ό νμ‘°μ κ²μμ΄λ‘ μ μ κ·Όλ²μ ν΅ν΄μ λΆμνλ€. 4κ°μ§ λͺ¨νμ ꡬμΆνκ³ κ° λͺ¨νμμ κ³μ°λ μ΄μ€λΆλ°°μ νμ€μ μ΄μ€λΆλ°°λ₯Ό λΉκ΅ν λ, μμ±μ°¨ κΈ°μ
μ μν₯λ ₯μ κ°μ₯ ν¬κ² κ°μ ν λͺ¨νμ μ΄μ€λΆλ°° κ²°κ³Όκ° νμ€μ μ΄μ€λΆλ°°μ κ°μ₯ κ·Όμ ν κ²μ νμΈνμλ€.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
νμλ
Όλ¬Έ (μμ¬)-- μμΈλνκ΅ λνμ : κ²½μ νλΆ, 2013. 2. μ μμ.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
Thesis (master`s)--μμΈλνκ΅ λνμ :μνκ³Ό,1997.Maste
νΌνκ³ λΌμ€-νΈλκ·Έλν 곑μ μ μ€μΌλ¬-λ‘λ리κ²μ€ νλ μ
Thesis (doctoral)--μμΈλνκ΅ λνμ :μνκ³Ό,2002.Docto