Multi-period multi-attribute group decision-making under linguistic assessments

In fuzzy environments, decision information is more suitable to be expressed in linguistic labels than exact numerical values. Group decision-making with linguistic assessments has received more and more attention over the last decades. Most research on this topic has focused on situations where all the original decision information is provided at the same time and refers to one and same period. However, in many decision areas, such as multi-period investment decision-making, medical diagnosis, personnel dynamic examination, military system efficiency dynamic evaluation, etc., the original decision information is usually collected at different periods and/or refers to different moments in time. This paper investigates the multi-period multi-attribute group decision-making problems where all decision information is expressed by decision-makers in multiplicative linguistic labels at different periods. The paper first introduces a new operator called a dynamic linguistic weighted geometric (DLWG) operator and uses the minimum variability model to derive the time series weights associated with the DLWG operator, and then utilises, respectively, the linguistic weighted geometric (LWG) operator and the DLWG operator to aggregate the given linguistic labels. Moreover, the paper develops an approach to multi-period multiple attribute group decision-making under linguistic assessments so as to derive the final ranking of alternatives, and finally, gives an illustrative example and extends the above results to uncertain linguistic environments.     

Some induced intuitionistic fuzzy aggregation operators applied to multi-attribute group decision making

In this paper, we define various induced intuitionistic fuzzy aggregation operators, including induced intuitionistic fuzzy ordered weighted averaging (OWA) operator, induced intuitionistic fuzzy hybrid averaging (I-IFHA) operator, induced interval-valued intuitionistic fuzzy OWA operator, and induced interval-valued intuitionistic fuzzy hybrid averaging (I-IIFHA) operator. We also establish various properties of these operators. And then, an approach based on I-IFHA operator and intuitionistic fuzzy weighted averaging (WA) operator is developed to solve multi-attribute group decision-making (MAGDM) problems. In such problems, attribute weights and the decision makers' (DMs') weights are real numbers and attribute values provided by the DMs are intuitionistic fuzzy numbers (IFNs), and an approach based on I-IIFHA operator and interval-valued intuitionistic fuzzy WA operator is developed to solve MAGDM problems where the attribute values provided by the DMs are interval-valued IFNs. Furthermore, induced intuitionistic fuzzy hybrid geometric operator and induced interval-valued intuitionistic fuzzy hybrid geometric operator are proposed. Finally, a numerical example is presented to illustrate the developed approaches.     

Bidding strategies in online single-unit auctions: Their impact and satisfaction

Online bidders use different strategies in their biddings. However, we are unsure of the bidders strategies and their effectiveness in achieving auction goals. Our study was an attempt to identify bidding strategies empirically in online single-unit auctions and evaluate their outcome in terms of cost saving, perceived bidder enjoyment, and bidder satisfaction. A research model was developed and used to examine the relationships. Both objective and subjective data of online single-unit auctions were collected from Taobao.com to validate our postulated hypotheses. We found three main bidding strategies: early, snipe, and agent-supported ratchet bidding based on their behavior patterns. These resulted in different levels of winning outcome and cost saving, but had no significant effect on perceived enjoyment. The hypotheses of the relationship between auction outcomes and bidder satisfaction of their bidding strategies were confirmed.     

具备隐形协商空间的服务连续双向拍卖策略研究

针对Web服务市场化交易中,买卖双方单一报价交易成功率低的难点,提出了具备隐形协商空间的服务连续双向拍卖策略,定义了由交易双方的成本、报价形成的买卖方报价协商空间,根据不同的服务供需环境,对议价采用不同的快速协商模式。模拟实验表明,该策略提高了服务交易成功率,又使得服务交易双方由传统单一固定的收益转变为根据市场环境获得区间内可变的收益,客观上有利于指导服务双方根据市场变化调整服务报价。     

基于直觉模糊理论的混合多属性Web服务选择

针对多个功能相同或相似的服务,提出了基于直觉模糊理论的混合多属性Web服务选择.将QoS属性分为精确数值型、区间数值型和语言型,并利用层次分析法给出了用户QoS偏好的计算方法.引入直觉模糊集理论将混合型QoS属性统一为直觉模糊数,采用直觉模糊加权算术平均算子对QoS决策矩阵各指标集结,利用直觉模糊得分函数对各决策方案进行排序,实现了基于QoS的Web服务选择.实例验证结果表明,该方法具有一定的有效性.     

Fuzzy multi-attribute decision making in pavement management

A methodology for ranking pavement sections according to maintenance urgency has been developed using fuzzy multi-attribute decision-making concepts. First. the pavement sections in a highway network are grouped according to their maintenance needs, using fuzzy pavement serviceability indices. Then, the attributes relevant to each category of maintenance are identified, and an expert knowledge base containing priority values for selected combinations of attribute values is formed in collaboration with decisionmakers. Finally, it is shown how the fuzzy attribute values for each pavement section can interact with the expert knowledge base to produce a unique set of rankings for these sections. This ranking scheme is capable of handling possible fuzziness in the priorities assigned by the decision makers.     

Social interaction and continuance intention in online auctions: A social capital perspective

This study explores how interaction within an online auction community affects online auction actor intention to continue trading with others. Adopting a social perspective drawing on social capital theory and IS literature, this study investigates how interactions among actors contribute to the creation and advancement of social capital. The analytical results demonstrate that the influence of user interaction on continuance intention in online auctions is mediated by the creation of various dimensions of social capital at the community level. Finally, the implications of the study findings are discussed.     

大民屯凹陷低潜山综合勘探技术及效果

大民屯凹陷近年来勘探上连续获得重大突破,先后发现了安福屯、东胜堡西、平安堡等低潜山,成为老油区深化勘探的典范之一,其中勘探思路转变是前提,勘探技术创新发展与应用是关键。针对大民屯低潜山勘探中复杂构造落实、储层识别与评价、裂缝发育及岩性分区预测等关键地质问题,探索并形成了以三维可视化、地震多属性、综合测井评价、储层特征多属性反演等多项技术为核心手段的综合勘探技术系列,并在开展综合评价、指导钻探部署及发现新区带、新领域中起到了关键作用。     

Web-based simulation tools for the allocation of cross-border transmission rights and implementation aspects in South-East Europe

In South-East Europe (SEE), system operators (SO) started with the gradual implementation of market-based methods for the transmission capacity allocation. In this paper, the special web-based simulating software, developed for the daily explicit auction and allocation of tie-lines transmission rights on the borders of TSO-EPCG (Transmission System Operator of Montenegro), is presented as well as the monthly results achieved with its implementation. Details on the aforementioned simulator are given. After that, a small, coordinated flow-based internet simulator is created for the testing purposes, using PHP/MySQL and MATLAB as the development tools. The main advantages of the coordinated flow-based auction over the explicit NTC-based method are clearly underlined. Therefore, the proposed method can be a successful substitution for the currently applied market-based methods, and a step towards the open electricity market in SEE.     

大民屯凹陷元古界分布与储层预测方法

大民屯凹陷元古界白云岩、石英岩为古潜山最佳储集岩性，因而元古界分布研究在古潜山勘探中占有重要地位。元古界为海相沉积，现今分布主要受印支运动褶曲、抬升、剥蚀作用和燕山运动压扭性左旋断裂活动的影响，是多期构造活动及后期多次改造后残留的地层，主要分布于大民屯凹陷西北部。通过自然伽马能谱测井综合对比，结合岩心资料开展大民屯元古界内幕结构研究表明，大民屯凹陷主要发育大红峪组和高于庄组的18个小层，宏观上为近东西向的紧密向斜结构。元古界岩性识别主要通过放射性测井系列交会的方法，进而通过深浅侧向电阻率和三孔隙度交会及成像测井系列判别有效储层和裂缝发育段；以储层特征重构为基础，通过地质统计、多属性变换和神经网络方法，分别开展伽马和深、浅侧向电阻率多属性测井模拟反演，能够有效地预测元古界的岩性和裂缝发育段的宏观分布。