標(biāo)題: Titlebook: Linear and Multiobjective Programming with Fuzzy Stochastic Extensions; Masatoshi Sakawa,Hitoshi Yano,Ichiro Nishizaki Textbook 2013 Sprin [打印本頁] 作者: 灰塵 時(shí)間: 2025-3-21 18:36
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions影響因子(影響力)
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions影響因子(影響力)學(xué)科排名
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions網(wǎng)絡(luò)公開度
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions被引頻次
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions被引頻次學(xué)科排名
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions年度引用
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions年度引用學(xué)科排名
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions讀者反饋
書目名稱Linear and Multiobjective Programming with Fuzzy Stochastic Extensions讀者反饋學(xué)科排名
作者: Lumbar-Stenosis 時(shí)間: 2025-3-21 22:46
Stochastic Linear Programming,alties for the constraint violation is minimized. In contrast, chance constrained programming admits random data variations and permits constraint violations up to specified probability limits, and its formulation is somewhat variable, including the expectation model, the variance model, the probability model, and the fractile model.作者: Repetitions 時(shí)間: 2025-3-22 00:29 作者: 易改變 時(shí)間: 2025-3-22 08:17
Interactive Fuzzy Multiobjective Stochastic Linear Programming, Assuming that the decision maker has the fuzzy goal for each of the objective functions, several interactive fuzzy satisficing methods are presented for deriving a satisficing solution for the decision maker by updating the reference membership levels.作者: 耕種 時(shí)間: 2025-3-22 10:02 作者: Custodian 時(shí)間: 2025-3-22 15:24 作者: 綁架 時(shí)間: 2025-3-22 20:01
https://doi.org/10.1007/978-1-4614-9399-0Computational methods; Fuzziness; Multiobjective Programming; Operations Research; Optimization; Stochast作者: CRUMB 時(shí)間: 2025-3-23 00:27
978-1-4899-7855-4Springer Science+Business Media New York 2013作者: 讓空氣進(jìn)入 時(shí)間: 2025-3-23 02:45 作者: 蒼白 時(shí)間: 2025-3-23 05:58
Introduction,cision variables is formulated as a linear programming problem, and a graphical method for obtaining an optimal solution is illustrated. Moreover, by considering environmental quality, a two-objective linear programming problem is formulated, and the notion of Pareto optimality is outlined.作者: 壯麗的去 時(shí)間: 2025-3-23 12:25
Linear Programming,bjective function subject to linear constraints, has been extensively studied and, with the significant advances in computer technology, widely used in the fields of operations research, industrial engineering, systems science, management science, and computer science.作者: 放氣 時(shí)間: 2025-3-23 16:58
Fuzzy Linear Programming,In 1976, Zimmermann first introduced fuzzy set theory into linear programming problems. He considered linear programming problems with a fuzzy goal and fuzzy constraints. Following the fuzzy decision proposed by Bellman and Zadeh (1970) together with linear membership functions, he proved that there exists an equivalent linear programming problem.作者: 鳴叫 時(shí)間: 2025-3-23 19:15
Masatoshi Sakawa,Hitoshi Yano,Ichiro NishizakiPresents the latest advances in the new field of multiobjective programming involving fuzziness and randomness.Emphasis on human-centered systems under uncertainty in realistic situations.Suitable as 作者: otic-capsule 時(shí)間: 2025-3-23 22:30
International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/l/image/586458.jpg作者: 縮影 時(shí)間: 2025-3-24 03:12 作者: airborne 時(shí)間: 2025-3-24 06:58
Masatoshi Sakawa,Hitoshi Yano,Ichiro Nishizaking clinical visits, patient self-generated/reported data start to grow thanks to wearable sensors’increasing use.? The authors? present deep learning case studies on all data described..Deep learning models: Neural network models are a class of machine learning methods with a long history. Deep lear作者: 揉雜 時(shí)間: 2025-3-24 12:17
Masatoshi Sakawa,Hitoshi Yano,Ichiro Nishizakiknowledge. Every chapter includes a set of exercises based on what it covered to further cement your learning. No specialized knowledge of mathematics is expected beyond the basics, so it is perfect for novices..What You Will Learn.UnderstandLambda calculus and dependent types.Gaininsight into funct作者: Acclaim 時(shí)間: 2025-3-24 18:22
Masatoshi Sakawa,Hitoshi Yano,Ichiro Nishizaki for massive engagement; Bridge science and practice; Ensure that restoration is equitable and just; Insert restoration into social-technical systems; Invest in restoration and sustainability transitions. Sustainability transitions alone have the potential to limit further ecosystem degradation but 作者: Extemporize 時(shí)間: 2025-3-24 21:18
for massive engagement; Bridge science and practice; Ensure that restoration is equitable and just; Insert restoration into social-technical systems; Invest in restoration and sustainability transitions. Sustainability transitions alone have the potential to limit further ecosystem degradation but 作者: phlegm 時(shí)間: 2025-3-25 02:30
sensors’increasing use.? The authors? present deep learning case studies on all data described..Deep learning models: Neural network models are a class of machine learning methods with a long history. Deep lear978-3-030-82186-9978-3-030-82184-5作者: Psa617 時(shí)間: 2025-3-25 06:34
Masatoshi Sakawa,Hitoshi Yano,Ichiro Nishizakiement your learning. No specialized knowledge of mathematics is expected beyond the basics, so it is perfect for novices..What You Will Learn.UnderstandLambda calculus and dependent types.Gaininsight into funct978-1-4842-9258-7978-1-4842-9259-4作者: Credence 時(shí)間: 2025-3-25 07:56 作者: 豪華 時(shí)間: 2025-3-25 12:08 作者: Parameter 時(shí)間: 2025-3-25 19:22
Textbook 2013f the theory of linear programming and its algorithms. Chapter 3 discusses fundamental notions and methods of multiobjective linear programming and concludes with interactive multiobjective linear programming. In Chapter 4, starting with clear explanations of fuzzy linear programming and fuzzy multi作者: Inordinate 時(shí)間: 2025-3-25 22:07 作者: Confidential 時(shí)間: 2025-3-26 00:22
Masatoshi Sakawa,Hitoshi Yano,Ichiro Nishizakitively model health data. Healthcare data: Among all healthcare technologies, electronic health records (EHRs) had vast adoption and a significant impact on healthcare delivery in recent years. One crucial benefit of EHRs is to capture all the patient encounters with rich multi-modality data. Health作者: TOXIC 時(shí)間: 2025-3-26 05:35 作者: 希望 時(shí)間: 2025-3-26 10:15 作者: Mangle 時(shí)間: 2025-3-26 16:41
Masatoshi Sakawa,Hitoshi Yano,Ichiro Nishizakie interaction between urban contexts, peri-urban and rural o.The?.Designing Environments.?book series addresses questions regarding necessary environmental transformation in the context of the fast-unfolding environmental crisis. This is done from a broad interdisciplinary perspective, examining the作者: Fsh238 時(shí)間: 2025-3-26 19:11
Masatoshi Sakawa,Hitoshi Yano,Ichiro Nishizakiely decoupled from the concept of sustainability transitions. We argue that alongside radical changes in socio-technical systems that define sustainability transitions there will also be a need to conduct extensive ecological restoration. Indeed, that would in and of itself represent a major transit作者: 偽善 時(shí)間: 2025-3-26 21:21 作者: 薄膜 時(shí)間: 2025-3-27 02:08
Introduction,cision variables is formulated as a linear programming problem, and a graphical method for obtaining an optimal solution is illustrated. Moreover, by considering environmental quality, a two-objective linear programming problem is formulated, and the notion of Pareto optimality is outlined.作者: licence 時(shí)間: 2025-3-27 07:43
Linear Programming,bjective function subject to linear constraints, has been extensively studied and, with the significant advances in computer technology, widely used in the fields of operations research, industrial engineering, systems science, management science, and computer science.作者: 我不明白 時(shí)間: 2025-3-27 10:48
Multiobjective Linear Programming, linear programming problem. This chapter begins with a discussion of fundamental notions and methods of multiobjective linear programming. After introducing the notion of Pareto optimality, several methods for characterizing Pareto optimal solutions including the weighting method, the constraint me作者: chalice 時(shí)間: 2025-3-27 17:21 作者: deficiency 時(shí)間: 2025-3-27 20:16
Interactive Fuzzy Multiobjective Stochastic Linear Programming,several stochastic models including the expectation model, the variance model, the probability model, the fractile model, and the simple recourse model together with chance constrained programming, the formulated multiobjective stochastic programming problems are transformed into deterministic ones.作者: degradation 時(shí)間: 2025-3-28 00:46
Purchase and Transportation Planning for Food Retailing,lem, we consider purchase and transportation planning for food retailing in Japan and formulate a linear programming problem where the profit of a food retailer is maximized. The food retailer deals with vegetables and fruits which are purchased at the central wholesale markets in several cities and作者: 出處 時(shí)間: 2025-3-28 03:47 作者: Condyle 時(shí)間: 2025-3-28 09:05 作者: Incise 時(shí)間: 2025-3-28 12:14 作者: Flirtatious 時(shí)間: 2025-3-28 16:04
Das Bedingungsgefüge süchtigen Verhaltensy code). Thus, every object, product, book, library, museum, city, etc. can have its own numeric image (or virtual image, a sort of numeric double) which can be processed, stored and communicated by networked computers.作者: Occipital-Lobe 時(shí)間: 2025-3-28 19:58 作者: 喚醒 時(shí)間: 2025-3-28 22:59
