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1. |
Record Nr. |
UNINA9910790615303321 |
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Autore |
Crawford James <1948-2021, > |
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Titolo |
State responsibility : the general part / / James Crawford [[electronic resource]] |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2013 |
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ISBN |
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1-139-89016-6 |
1-107-27225-4 |
1-107-27173-8 |
1-107-47778-6 |
1-139-03306-9 |
1-107-27382-X |
1-107-27505-9 |
1-107-27831-7 |
1-107-27708-6 |
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Descrizione fisica |
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1 online resource (lxxiv, 825 pages) : digital, PDF file(s) |
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Collana |
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Cambridge studies in international and comparative law ; ; 100 |
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Disciplina |
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Soggetti |
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International obligations |
Government liability (International law) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references (pages 778-807) and index. |
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Nota di contenuto |
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part I. The framework of responsibility -- part II. Attribution to the state -- part III. Breach -- part Ivolume Collective or ancillary responsibility -- part volume Cessation and reparation -- part VI. The implementation of responsibility. |
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Sommario/riassunto |
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Annexed to GA Resolution 56/83 of 2001, the International Law Commission's Articles on Responsibility for Internationally Wrongful Acts put the international law of responsibility on a sound footing. As Special Rapporteur for the second reading, James Crawford helped steer it to a successful conclusion. With this book, he provides a detailed analysis of the general law of international responsibility and the place of state responsibility in particular within that framework. It serves as a companion to The International Law Commission's Articles on State Responsibility: Introduction, Text and Commentaries |
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(Cambridge University Press, 2002) and is essential reading for scholars and practitioners concerned with issues of international responsibility, whether they arise in interstate relations, in the context of arbitration or litigation, or in bringing international claims. |
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2. |
Record Nr. |
UNINA9910861085203321 |
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Autore |
Zheng Maosheng |
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Titolo |
Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization / / by Maosheng Zheng, Jie Yu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (127 pages) |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Industrial engineering |
Production engineering |
Probabilities |
Optimization |
Industrial and Production Engineering |
Applied Probability |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Intrinsic Essence of Robust Design -- Relevant Contents of System Theory and Probability Theory -- Concise Description of Probabilistic Multi-objective Optimization from Viewpoint of System Theory -- Robust Design of a Single Objective as Dual Sub-objectives Optimization -- Robust Design and Assessment of Product and Production with Multiple Objectives -- Robust Design with Sequential Uniform Algorithm for Optimization by Means of PMOO -- Robust Design and Assessment of Product and Production with Fuzzy Number -- Concluding Remarks. |
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Sommario/riassunto |
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This book develops robust design and assessment of product and |
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production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment. It aims to provide a new idea and novel way to robust design and assessment of product and production and relevant problems. Robust design and assessment of product and production is attractive to both customer and producer since the stability and insensitivity of a product’s quality to uncontrollable factors reflect its value. Taguchi method has been used to conduct robust design and assessment of product and production for half a century, but its rationality is criticized by statisticians due to its casting of both mean value of a response and its dispersion into one index, which doesn’t characterize the issue of simultaneous robust design of above two independent responses sufficiently, so an appropriate approach is needed. The preference or role of a response in the evaluation is indicated by using preferable probability as the unique index. Thus, the rational approach for robust design and assessment of product and production is formulated by means of probabilistic multi-objective optimization, which reveals the simultaneous robust designs of both mean value of a response and its dispersion in manner of joint probability. Besides, defuzzification and fuzzification measurements are involved as preliminary approaches for robust assessment, the latter provides miraculous treatment for the 'target the best' case flexibly. |
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