本文選題：信任模型　切入點(diǎn)：直覺模糊集　出處：《江西財(cái)經(jīng)大學(xué)》2015年博士論文　論文類型：學(xué)位論文

【摘要】：隨著P2P網(wǎng)絡(luò)、電子商務(wù)、社會(huì)網(wǎng)絡(luò)、移動(dòng)商務(wù)等大規(guī)模開放式應(yīng)用系統(tǒng)的普及和發(fā)展,開放式網(wǎng)絡(luò)環(huán)境已成為人們分享資源、購(gòu)物、社交活動(dòng)、服務(wù)推薦等在線交互活動(dòng)的重要平臺(tái)和工具。然而,開放式網(wǎng)絡(luò)環(huán)境具有模糊性、隨機(jī)性和不確定性的特點(diǎn),使用戶在選擇目標(biāo)實(shí)體交互時(shí)面臨了諸多風(fēng)險(xiǎn)。在這種不確定的網(wǎng)絡(luò)環(huán)境下,傳統(tǒng)的基于CA,PKI等技術(shù)的靜態(tài)安全機(jī)制難以適應(yīng)這種環(huán)境的需求。由于網(wǎng)絡(luò)實(shí)體的匿名性和自治性,每個(gè)評(píng)估實(shí)體必須評(píng)估其它目標(biāo)實(shí)體的可信性,并且選擇最可信的實(shí)體進(jìn)行交互。因此,設(shè)計(jì)有效的信任評(píng)估機(jī)制,在指導(dǎo)用戶選擇合適的交互對(duì)象、提高合作成功率、評(píng)估陌生實(shí)體、保障開放式計(jì)算系統(tǒng)的順利運(yùn)行等方面,具有重要的現(xiàn)實(shí)意義。然而,現(xiàn)有開放式網(wǎng)絡(luò)環(huán)境下的多數(shù)信任模型尚未完善,主要存在以下四個(gè)問(wèn)題:(1)不能很好刻畫信任的模糊性和不確定性特點(diǎn);(2)對(duì)不誠(chéng)實(shí)推薦、夸大、詆毀等惡意行為的免疫力不夠;(3)信任傳遞經(jīng)常忽視路徑信任質(zhì)量的影響;(4)不能有效處理異質(zhì)推薦信息。為了解決上述問(wèn)題,論文將直覺模糊理論引入到信任建模的研究中來(lái)。作為傳統(tǒng)模糊集的擴(kuò)展,直覺模糊集能夠更加細(xì)膩地刻畫信任的模糊性和不確定性。本文研究基于直覺模糊理論的信任評(píng)估方法,包括基于直覺模糊信息的信任表示、獲取、分配、傳遞、決策、惡意行為抵制和異質(zhì)信息處理等內(nèi)容,具有重要的理論和實(shí)踐意義。具體工作如下:(1)提出了一種集成直覺模糊信息的激勵(lì)自適應(yīng)信任模型。為了激勵(lì)提供可信服務(wù)的實(shí)體,懲罰不良行為實(shí)體,該模型結(jié)合服務(wù)持續(xù)性強(qiáng)度和時(shí)間衰減因子,給出了實(shí)體直接信任直覺模糊數(shù)的計(jì)算方法;同時(shí)利用實(shí)體的推薦可信度和行為一致性過(guò)濾不誠(chéng)實(shí)推薦行為。除此之外,為了克服綜合信任聚合計(jì)算中權(quán)重確定較主觀的問(wèn)題,給出了一種新的自適應(yīng)權(quán)重分配方法。仿真實(shí)驗(yàn)表明,該模型在提高實(shí)體服務(wù)積極性和抑制惡意欺詐行為中,都有較好的適應(yīng)性、靈敏性和有效性。(2)提出了一種基于直覺模糊信息的多維反饋信任模型。該模型以電子商務(wù)環(huán)境為背景,給出了定量和定性兩類信任反饋信息集成為直覺模糊數(shù)的方法。通過(guò)直覺模糊熵確定屬性權(quán)重,并利用直覺加權(quán)算數(shù)平均算子求出實(shí)體的綜合直覺模糊數(shù),從而全面地、客觀地反映了信任的模糊性和不確定性。在上述方法的基礎(chǔ)上,引入風(fēng)險(xiǎn)偏好因子,研究了消費(fèi)者風(fēng)險(xiǎn)偏好對(duì)信任評(píng)估的影響。實(shí)例和仿真實(shí)驗(yàn)表明,基于直覺模糊信息的多維反饋信任評(píng)估方法是可行的;通過(guò)對(duì)風(fēng)險(xiǎn)偏好因子的靈敏度分析,發(fā)現(xiàn)服務(wù)請(qǐng)求者的風(fēng)險(xiǎn)偏好不同,則評(píng)估的服務(wù)提供商的信任得分也不同;同時(shí)也驗(yàn)證了該方法可以有效地抑制惡意節(jié)點(diǎn)的攻擊,為電子商務(wù)環(huán)境下信任評(píng)價(jià)的研究提供了新思路。(3)設(shè)計(jì)了一種基于直覺模糊理論的多元信任傳遞模型。為了解決復(fù)雜網(wǎng)絡(luò)中陌生實(shí)體信任評(píng)估問(wèn)題,同時(shí)避免信任傳遞中信任不確定性的丟失問(wèn)題,該模型討論了直覺模糊環(huán)境下基本的信任傳播算子和聚合算子;經(jīng)過(guò)綜合考慮路徑長(zhǎng)度和信任質(zhì)量對(duì)信任聚合的影響,研究了兩種加權(quán)信任聚合算子,給出了基于社會(huì)網(wǎng)絡(luò)分析的路徑信任質(zhì)量計(jì)算方法。仿真實(shí)驗(yàn)表明,與已有模型相比,路徑長(zhǎng)度和信任質(zhì)量混合加權(quán)聚合策略在信任度量準(zhǔn)確性方面有較大提高。(4)構(gòu)建了一種基于區(qū)間直覺模糊信息的異質(zhì)推薦信任模型。該模型采用區(qū)間直覺模糊數(shù)表示信任,針對(duì)推薦信息的異構(gòu)性,給出了基于異質(zhì)信息的信任區(qū)間直覺模糊數(shù)的獲取方法,從而較全面地刻畫了評(píng)價(jià)信息的主觀性和模糊性。為了避免推薦者主觀賦權(quán)帶來(lái)的二次不確定性,給出了基于原始評(píng)價(jià)信息的熵權(quán)法�？紤]到推薦者知識(shí)背景的差異性,提出了信心區(qū)間直覺模糊加權(quán)平均集成算子及其定理和性質(zhì),并利用基于信心的集成算子計(jì)算綜合信任直覺模糊信息。最后,通過(guò)一個(gè)移動(dòng)商務(wù)供應(yīng)商的信任評(píng)估實(shí)例驗(yàn)證該模型的有效性和合理性。
[Abstract]:With the P2P network, e-commerce, social network, the development and popularization of mobile commerce and other large-scale open application system, open network environment has become the people to share resources, shopping, social activities, an important platform and tool service recommendation online interactive activities. However, the open network environment is fuzzy, random and not the uncertainty characteristics, so that users face a lot of risk in the selection of the target entity interactions. In this uncertain network environment, CA based on the traditional static security mechanism of PKI technology cannot meet the environmental requirements. Because the network entity anonymity and autonomy, the credibility of each evaluation entity must evaluate other target entities the interact and choose the most trusted entities. Therefore, the trust evaluation mechanism is effective in design, guide the users to choose the appropriate interactive object, improve the success rate of cooperation, Evaluation of strange entities, open computing system guarantee smooth operation, has important practical significance. However, most of the existing trust model in open network environment is not perfect, there are mainly four problems: (1) can not describe the characteristic of fuzziness and uncertainty of trust; (2) to exaggerate dishonest recommendation, slander and other malicious acts of immunity is not enough; (3) effects of trust transfer often ignore path trust quality; (4) can not effectively deal with heterogeneous information recommendation. In order to solve the above problems, the intuitionistic fuzzy theory is introduced to study the trust modeling in the past. As the expansion of traditional fuzzy sets, fuzzy of intuitionistic fuzzy sets can be more delicate portrait of trust and uncertainty. The trust evaluation method based on intuitionistic fuzzy theory, including intuitionistic fuzzy information representation based on trust, acquisition, distribution, transmission, The decision, malicious boycott and heterogeneous information processing, has important theoretical and practical significance. The specific work is as follows: (1) the paper puts forward an integrated intuitionistic fuzzy information incentive model adaptive trust. In order to provide credible service incentive entities, punish bad behavior entity, the model combined with the attenuation factor of strength and continuous service time gives the entity direct trust calculating method of fuzzy number intuitionistic; while using recommendation credibility and behavior consistency filtering entity dishonest recommendation behavior. In addition, in order to overcome the comprehensive trust aggregation calculation is a subjective matter in determining the weights, presents a new method of adaptive weight distribution. Simulation results show that the the model in improving the entity service enthusiasm and inhibit malicious fraud, have better adaptability, flexibility and effectiveness. (2) proposed a model based on intuition Multidimensional fuzzy information feedback trust model. The model is based on the background of e-commerce, information integration method for intuitionistic fuzzy numbers is given the quantitative and qualitative analysis of two types of trust. Through the feedback of intuitionistic fuzzy entropy to determine attribute weights, and calculated the comprehensive entity using intuitionistic fuzzy number intuitionistic weighted arithmetic average operator, thus comprehensively, objectively reflects the fuzziness of trust and uncertainty. Based on the above method, the introduction of risk factor, study the influence consumers' risk preference on trust evaluation. Examples and simulation experiments, multidimensional intuitionistic fuzzy information feedback based on trust evaluation method is feasible; based on the sensitivity analysis of risk factor. Find the service requester different risk preferences, trust score evaluation service providers are different; the results also show that the method can effectively suppress the malicious node The point of attack, and provides a new idea for the evaluation of trust in e-commerce environment. (3) the design of a multi trust transfer model based on intuitionistic fuzzy theory. In order to solve the complex network strange entity trust evaluation problem, while avoiding the trust transfer of trust and uncertainty of the loss problem, the model of trust is discussed the basic propagator and aggregation operators under intuitionistic fuzzy environment; after considering the path length and affect the quality of the trust trust aggregation, study two kinds of weighted trust aggregation operator is given to calculate the path of trust quality based on social network analysis method. Simulation results show that compared with the existing models, improved path length and trust the quality of the mixed weighted aggregation strategy measure accuracy in terms of trust. (4) to construct a based on interval valued intuitionistic fuzzy information recommendation trust model. The model of heterogeneity The interval intuitionistic fuzzy numbers to recommend trust, heterogeneous information, method for the trust interval intuitionistic fuzzy numbers based on heterogeneous information is given, so as to comprehensively characterize the evaluation information of subjectivity and fuzziness. In order to avoid the presenter at the two subjective uncertainty, given the entropy method to evaluate the original based on the information. Considering the differences of the recommended knowledge background, the confidence interval intuitionistic fuzzy weighted average operator and its integration theorems and properties, and the use of integrated operator confidence calculation based on intuitionistic fuzzy comprehensive trust information. Finally, through the trust evaluation instance of a mobile commerce provider verified the validity and rationality of the model.

【學(xué)位授予單位】：江西財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP393.08

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 申利民;王立華;李峰;;機(jī)會(huì)網(wǎng)絡(luò)中基于時(shí)間序列分析的自適應(yīng)信任模型[J];小型微型計(jì)算機(jī)系統(tǒng);2015年07期

2 蔣黎明;劉志明;張琨;徐建;張宏;;基于動(dòng)態(tài)分組的開放分布系統(tǒng)信任度量與管理研究[J];通信學(xué)報(bào);2015年01期

3 徐軍;鐘元生;;一種集成區(qū)間逼近理想點(diǎn)的主觀信任模型[J];小型微型計(jì)算機(jī)系統(tǒng);2014年11期

4 孫華梅;鄒維娜;;電子商務(wù)環(huán)境下基于Multi-Agent的B2B信任評(píng)價(jià)模型研究[J];運(yùn)籌與管理;2014年05期

5 蔣偉進(jìn);許宇勝;郭宏;張蓮梅;;網(wǎng)絡(luò)在線交易動(dòng)態(tài)信任計(jì)算模型與信譽(yù)管理機(jī)制[J];中國(guó)科學(xué):信息科學(xué);2014年09期

6 張紹武;林鴻飛;劉曉霞;竇彥昭;;基于概率的信任傳播模型[J];計(jì)算機(jī)科學(xué);2014年08期

7 王群;戴秀岳;楊莉;;一種基于直覺模糊理論的P2P動(dòng)態(tài)信任模型[J];計(jì)算機(jī)工程;2014年08期

8 羅海燕;呂萍;劉林忠;楊洵;;云環(huán)境下基于模糊粗糙AHP的企業(yè)信任綜合評(píng)估[J];山東大學(xué)學(xué)報(bào)(理學(xué)版);2014年08期

9 李喬;何慧;方濱興;張宏莉;王雅山;;基于信任的網(wǎng)絡(luò)群體異常行為發(fā)現(xiàn)[J];計(jì)算機(jī)學(xué)報(bào);2014年01期

10 郭嗣琮;呂金輝;;直覺模糊數(shù)的研究[J];模糊系統(tǒng)與數(shù)學(xué);2013年05期

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