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標(biāo)題: Titlebook: Generalized Concavity in Fuzzy Optimization and Decision Analysis; Jaroslav Ramík,Milan Vlach Book 2002 Springer Science+Business Media Ne [打印本頁]

作者: Optician    時(shí)間: 2025-3-21 16:37
書目名稱Generalized Concavity in Fuzzy Optimization and Decision Analysis影響因子(影響力)




書目名稱Generalized Concavity in Fuzzy Optimization and Decision Analysis影響因子(影響力)學(xué)科排名




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書目名稱Generalized Concavity in Fuzzy Optimization and Decision Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Generalized Concavity in Fuzzy Optimization and Decision Analysis被引頻次




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書目名稱Generalized Concavity in Fuzzy Optimization and Decision Analysis讀者反饋




書目名稱Generalized Concavity in Fuzzy Optimization and Decision Analysis讀者反饋學(xué)科排名





作者: Basal-Ganglia    時(shí)間: 2025-3-21 20:22

作者: 缺乏    時(shí)間: 2025-3-22 00:47
https://doi.org/10.1007/978-3-0348-9313-8it interval [0,1]. The reason for this restriction comes from applications to real-world problems. There exist many practical situations, e.g., in decision making, economics and business, and also in technical or technological disciplines, where such functions play an essential role. These applications will be dealt with in Part II.
作者: LITHE    時(shí)間: 2025-3-22 07:12
Triangular Norms and ,-Quasiconcave Functionsit interval [0,1]. The reason for this restriction comes from applications to real-world problems. There exist many practical situations, e.g., in decision making, economics and business, and also in technical or technological disciplines, where such functions play an essential role. These applications will be dealt with in Part II.
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作者: 金哥占卜者    時(shí)間: 2025-3-22 18:59
https://doi.org/10.1007/978-3-0348-5671-3ll the individual aggregated values. This chapter serves as a theoretical background for applications mainly in the area of decision analysis, decision making or decision support. In decision making, values to be aggregated are typically preference or satisfaction degrees. A preference degree, e.g.,
作者: dissent    時(shí)間: 2025-3-23 01:05
Kommunikation auf Anwendungsebeneracteristic functions, see, e.g., [11], [32] and [57]. While this may be advantageous in some contexts, we should notice that the notion of a characteristic function is more complex than the notion of a subset. Indeed, the characteristic function χ. of a subset . of . is defined by [EQ139-1] Since χ
作者: tendinitis    時(shí)間: 2025-3-23 02:31
Technikgestaltung aus Frauenperspektiveeasuring physical quantities, from errors caused by representing some data in a computer, from the fact that some data are approximate solutions of other problems or estimations by human experts, etc. In some of these situations, the fuzzy set approach may be applicable. In the context of multicrite
作者: antenna    時(shí)間: 2025-3-23 07:38
Zahlendarstellung und numerische Fehlerof objective functions on a given set of alternatives in such a way that more preferable alternatives have higher values. The values of the objective function describe effects from choices of the alternatives. In economic problems, for example, these values may reflect profits obtained when using va
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Kommunikation zwischen Mensch und Maschine,We assume that the reader is familiar with standard set theoretic concepts, introductory elements of linear algebra, and basic material from calculus. To avoid misunderstandings and for reader’s convenience, we review some basic concepts, results and notations.
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作者: 細(xì)胞    時(shí)間: 2025-3-24 05:42
https://doi.org/10.1007/978-3-662-49429-5Most frequent mathematical programming problems are linear programming problems. In this chapter we are concerned with fuzzy linear programming problem related to linear programming problems in the following form.
作者: 礦石    時(shí)間: 2025-3-24 10:34

作者: trigger    時(shí)間: 2025-3-24 12:34
Generalized Concave FunctionsThe notion of concavity of real-valued functions of real variables and its various generalizations have found many applications in economics and engineering. We refer to [3] for a detailed treatment of concavity and some of its generalizations.
作者: Terrace    時(shí)間: 2025-3-24 17:38
Fuzzy Linear ProgrammingMost frequent mathematical programming problems are linear programming problems. In this chapter we are concerned with fuzzy linear programming problem related to linear programming problems in the following form.
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作者: 防水    時(shí)間: 2025-3-25 04:38
Book 2002 extremely useful in the analysis and solution ofoptimization problems, including problems of either single objectiveor multiple objectives. Not all of these results rely necessarily onconvexity and concavity; some of the results can guarantee that eachlocal optimum is also a global optimum, giving
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Kommunikation auf Anwendungsebene. is a function we need not only the underlying set . and its subset . but also one additional set, in this case the set {0, 1} or any other two-element set. Moreover, we also need the notion of Cartesian product because functions are specially structured binary relations, in this case special subsets of . × {0, 1}.
作者: 新星    時(shí)間: 2025-3-26 01:30
Technikgestaltung aus Frauenperspektiveria decision making, functions mapping the set of feasible alternatives into the unit interval [0, 1] of real numbers representing normalized utility functions can be interpreted as membership functions of fuzzy subsets of the underlying set of alternatives. However, functions with the range in [0, 1] arise in more contexts.
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作者: 畢業(yè)典禮    時(shí)間: 2025-3-26 14:23
Fuzzy Multi-Criteria Decision Makingria decision making, functions mapping the set of feasible alternatives into the unit interval [0, 1] of real numbers representing normalized utility functions can be interpreted as membership functions of fuzzy subsets of the underlying set of alternatives. However, functions with the range in [0, 1] arise in more contexts.
作者: Acupressure    時(shí)間: 2025-3-26 20:49
Fuzzy Sequencing and SchedulingNevertheless, the resulting mathematical and computational problems often have the form of the following optimization problem: Given a finite number of jobs to be processed on a finite number of machines, find a feasible schedule that minimizes the value of a given objective function.
作者: Free-Radical    時(shí)間: 2025-3-26 21:18
Generalized Convex Setsnvex sets. Then we make further steps generalizing the starshaped sets to obtain path-connected sets, Φ-convex sets and some other types of generalized convex sets. The generalized convex sets will serve as a basis for defining generalized concave and convex functions, which will be introduced in th
作者: deface    時(shí)間: 2025-3-27 04:03
Triangular Norms and ,-Quasiconcave Functionsit interval [0,1]. The reason for this restriction comes from applications to real-world problems. There exist many practical situations, e.g., in decision making, economics and business, and also in technical or technological disciplines, where such functions play an essential role. These applicati
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Fuzzy Mathematical Programmingof objective functions on a given set of alternatives in such a way that more preferable alternatives have higher values. The values of the objective function describe effects from choices of the alternatives. In economic problems, for example, these values may reflect profits obtained when using va
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Generalized Concavity in Fuzzy Optimization and Decision Analysis
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International Series in Operations Research & Management Science382181.jpg
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Book 1996Latest editionition of ParkingStructures offers architects, engineers, parking facility owners, andcontractors a unique and comprehensive guide to designing safe andeffective parking structures.In addition, institutions providingeducation courses for professional registration in related fields willbenefit from this timely, authoritative account.
作者: 潛移默化    時(shí)間: 2025-3-29 12:21
Claus G. S?rensen,Efthymios Rodias,Dionysis Bochtised norm. It is almost universally the place where parents also expect the child to be made normal in our modern society. In earlier times, the parents would expect healing to possibly come from the doctor, but also they would place hope for healing in religion. As this belief in spiritual or miracul
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