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| 1 | 基于优先模糊目标规划方法的多目标交通模型研究(英文)显示文摘针对具有模糊因数的多目标交通问题,提出了一种优先模糊目标规划方法.本文首先建立了模糊目标的隶属度函数,其次,将隶属度函数的最大值作为期望基准并引入了偏差变量,从而将隶属度函数转化为隶属度目标.通过最小化负偏差变量得到最满意解.对模糊目标不同优先级结构下的解进行了敏感性分析,并用欧氏距离函数确定了最佳的目标优先级结构,通过最小化后悔值达到决策区域理想点决策值,得到决策单元最满意解.最后,应用实例对本文方法进行了分析验证. | PRAMANIK Surapati ROY Tapan Kumar | 2008 | 交通运输系统工程与信息2008，8，3： | 3 |
| 2 | Synthesis of hyperbranched-linear star block copolymers by atom transfer radical polymerization of styrene using hyper- branched poly ( siloxysilane ) ( HBPS ) macroinitiator 显示文摘 | SURAPATI M SEINO M HAYAKAWA T | 2010 | European Polymer Journal2010，46，2： | 1 |
| 3 | Bi-level multi-objective program- ming problem with fuzzy parameters显示文摘 | Surapati P Partha P D | 2011 | lnternational Jour- nal of Computer Applications2011，30，10： | 1 |
| 4 | 查看详情显示文摘 | Surapati M Seino M Hayakawa T Kakimoto M | | 0，，02： | 1 |
| 5 | Poly(N-isopropylacrylamide)-modified silica beads with hyperbranched polysiloxysilane for three-dimensional cell cultivation显示文摘 | Park B R Nabae Y Surapati M | 2013 | Polymer Journal2013，45，2： | 1 |
| 6 | MULTIMOORA strategy for solving multi-attribute group decision making (MAGDM) in trapezoidal neutrosophic number environment显示文摘The main purpose of this study is to bring in a new extension of multi-objective optimisation on the basis of ratio analysis plus full multiplicative form(MULTIMOORA)in trapezoidal neutrosophic number(TrNN)environment.MULTIMOORA strategy provides high efficiency and effectiveness in problem-solving.The new MULTIMOORA strategy consists of three components.The components are ratio system approach,reference point approach,and full multiplicative form.To develop the proposed strategy,the authors find out three ranking order of alternatives using the three components.The final ranking order of the alternatives is based on dominance property.The study is original as it first develops the MULTIMOORA strategy in the TrNN environment,which they call TrNN-MULTIMOORA.They solve a realistic banking problem involving multi-attribute group decision making in the TrNN environment to reflect the applicability and proficiency of the developed strategy.They also present a comparison between the proposed strategy and the existing tomada de decisao interativa e multicritévio and VlseKriterijumska Optimizcija I Kaompromisno Resenje strategies. | Surapati Pramanik Rama Mallick | 2020 | CAAI Transactions on Intelligence Technology2020，5，3： | 0 |
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