Fuzzy Phrase Research Articles

An Intelligent Fuzzy Phrase Search Scheme Over Encrypted Network Data for IoT

With the popularization of various applications of the Internet of Things (IoT), a large number of smart devices are connected to the IoT to form an interconnected network. Because the amount of network data generated by IoT devices is huge, data owners prefer to outsource these data to the cloud for releasing them from the local storage burden. Meanwhile, in order to protect the privacy of the network data generated by IoT devices, data owners usually encrypt them before outsourcing them to the cloud. Phrase search encryption plays an important role in the IoT-based applications. To the best of our knowledge, all existing phrase search encryption schemes cannot work when user makes spelling errors. In addition, many existing phrase search encryption schemes build the secure index based on the relative position of keywords, which may lead to inaccurate search results. In order to address these problems, we propose an intelligent fuzzy phrase search scheme over encrypted network data for IoT. In this scheme, we construct a fuzzy keyword set for each distinct keyword, which can efficiently address the spelling mistakes. Moreover, we build the binary matrix for the document collection, which can quickly achieve multi-keyword search. In order to accurately determine whether the keywords in the query phrases are consecutive, we build the look-up table for each document. Experimental result shows that the proposed scheme achieves high efficiency and accuracy.

A Constructive Fuzzy Representation Model for Heart Data Classification.

The early detection of Heart Disease (HD) and the prediction of Heart Failure (HF) via telemonitoring and can contribute to the reduction of patients' mortality and morbidity as well as to the reduction of respective treatment costs. In this study we propose a novel classification model based on fuzzy logic applied in the context of HD detection and HF prediction. The proposed model considers that data can be represented by fuzzy phrases constructed from fuzzy words, which are fuzzy sets derived from data. Advantages of this approach include the robustness of data classification, as well as an intuitive way for feature selection. The accuracy of the proposed model is investigated on real home telemonitoring data and a publicly available dataset from UCI.

The Islamic-Israelite World

This essay applies the concept of “fuzzy thinking” to geopolitics, using a curious turn of phrase in a 1914 policy paper (“the Islamic-Israelite world”) to explore paradoxes of German strategy in World War I. To find the origins of this phrase, the article explores the language of prewar Orientalism, especially the potent German variety that was notoriously neglected by Edward Said in his 1979 study decrying Orientalism as the handmaiden of European imperialism. But many prominent German Orientalists were also ignored in Robert Irwin's recent book-length critique of Said's Orientalism, despite the centrality of the German case to Irwin's argument. Just as Said ignored scholarly titans of the German-speaking world such as Carl Heinrich Becker, Ignaz Goldziher, and Theodore Nöldeke — presumably because Germany, unlike France and Britain, never colonized Islamic lands in the Middle East — so, too, did Irwin ignore more worldly German Orientalists such as Max von Oppenheim and Curt Prüfer, whose covert activities on behalf of Berlin did not fit his own counterthesis that Orientalism, pace Said, “in its most important aspect was founded upon academic drudgery.” The “hack” German Orientalists who concocted a Turco-German “jihad” against the Entente Powers in World War I — accompanied by a simultaneous plan to unleash Zionism to destroy tsarist Russia — may not have been scholars of the highest caliber, which helps explain how they could tolerate a fuzzy phrase like “the Islamic-Israelite world.” The essay concludes that, nevertheless, we may learn from and even be inspired by their ideas, however illusory these proved to be in practice.

Ambient shopping advertisement using rough service domain

Ambient service is a kind of context aware services which is related to the surrounding environment of the users. In other word, geographic area around the users is considered as contextual data to provide services. So ambient services term is used to emphasize the association of context aware services with geographic areas called ambient service domain. Service domains have sharp and clear boundaries in current ambient services. However because of inaccurate positioning systems and some linguistic and fuzzy phrases used to define ambient service domain (e.g. around, here, far, near), it is necessary to define service domains in a framework which can handle their uncertainty. If an uncertain spatial object is modeled in a certain and crisp framework, some of data related to that object will be missed. In this regard, rough set theory, as a simple and powerful device to consider uncertainty, is considered to model ambient service domains and based on them, ambient services are provided to users. To test our model, users commented on ambient shop based on rough service domain and compare it with classic ambient shop, 73% of users became more interested in rough based version because some of users in classic services were excluded and did not receive services whereas they are getting services in rough based version.

The Future of 'The Commons': Neoliberalism's 'Plan B' or the Original Disaccumulation of Capital?

In the tale as told by Power, the happening that is worth something is the one that can be recorded on a spreadsheet that contains respectable indices of profit. Everything else is completely dispensable, especially if that everything else reduces profit. Don Durito, Neoliberalism: Hutory as a tale. . .badly told. (Subcommandante Marcos 2005) The 'commons' has undergone a remarkable transformation in the last fifteen years, from a word referring rather archaically to a grassy square in the centre of New England towns to one variously used by real estate developers, 'free software' programmers, ecological activists and peasant revolutionaries to describe very different, indeed conflicting, purposes and realities. I believe that this resurgence of 'commons' thinking is due to a confluence of two streams coming from opposing perspectives. The revival of the commons from a capitalist perspective comes in the 1980s and 1990s with the development of a related set of concepts like 'social capital,' 'civil society,' 'associational life' that werejoined with the even vaguer and older all-pervading concepts like 'community,' 'culture,' and 'civilization'. A good index of this conceptual change can be noted in the substitution of the warm and fuzzy phrase 'business community' for the sharply delineated 'capitalist class' in the terminology of the social sciences. The main aim of this change was to save capitalism from its self-destructive totalitarian tendencies unleashed by neoliberalism. For example, who would commit themselves to defend capitalist society 'to the death,' if everyone acted like a perfect neoliberal agent aiming to maximize his/her own private utility function? After all, such beings, in a pinch, would not rationally bargain away their own lives to 'save the system.' The commons from this perspective was an additional concept that made it possible both to criticise the theoretical pillars of neoliberal thought (Hardin's 'tragedy of the commons' and the socalled 'Coase Theorem') and to propose other models for participating in the market, beside individualism or corporatism. The revival of the commons from an anti-capitalist perspective also develops in the 1980s and 1990s to deal with the crisis of socialism, communism and Third World nationalism. This crisis put into question the ideologies that claimed to provide an alternative to capitalism and/or imperialism through the use of the state and the expansion of state property. For the crisis of the division between state and private property is reflected in the so-called 'collapse of communism' and the 'withering away of the nation state' in the face of neoliberal globalisation. Both the ideology of official socialism/communism and nationalism created the imaginary impression of a sharing and co-management of social wealth by the citizens. The reality, of course, was that most of the 'sharing and co-management' of these resources was done by a ruling class whose restricted membership was defined by either bureaucratic or capitalist criteria. Critics of capitalism recognised that though communism (and nationalism) had little of the commons, they had much of the enclosures in them. In other words, history showed that the promise of communism - that 'economic' decisions would be made by a 'free association' of producers and reproducers - had not been fulfilled in actually existing states ruled by communist parties. On the contrary, though these states legitimised themselves on the basis of the sentiments and behaviour appropriate to the commons, they undermined the development of the humus of coordination that is absolutely essential for the functioning of a commons. In response to this political crisis, the commons has been used by anticapitalists to show that collective non-capitalist forms of organizing material life are alive and struggling throughout the world in two senses: (1) the precapitalist commons still exist and the subsistence of billions of people depend on them (indeed the forms of social cooperation implicit in these commons make it possible for all those 'living' on $1 a day - a literal impossibility - to actually live); (2) the rise of a new commons, especially in ecological-energy spaces and in computational-informational manifolds. …

From Interpretation to Protection: Is There a Theoretical Basis?

Perhaps the most oft-cited phrase in all the interpretation literature is a sentence written by an anonymous U.S. National Park Service ranger in an obscure administrative manual a half century ago: Through interpretation, understanding; through understanding, appreciation; through appreciation, protection. When Freeman Tilden quoted the manual in Interpreting Our Heritage, little did he know that those few words would evolve into a philosophical orientation around which interpreters all across the globe would soon rally. In this article, Tilden's claim is reexamined in light of contemporary cognitive and social psychology. Does the chain of events Tilden describes really stand up, or is it just a nice, warm, and fuzzy phrase? Is there a substantiated theoretical basis for claiming that “interpretation” can create a kind of “understanding” that would indeed lead people to “protect” the places they visit? According to the weight of evidence from cognitive science, the answer is yes.

Analysis of the fuzzy set literature using phrases

The topic of fuzzy set theory was examined using the occurrence of phrases in bibliographic records. Records containing the word fuzzy, were downloaded from over 100 databases, and from these records, phrases were extracted surrounding the word fuzzy. A methodology was developed to trim this list of phrases to a list of high frequency phrases relevant to fuzzy set theory. This list of phrases was in turn used to extract records from the original downloaded set, which were (algorithmically) relevant to fuzzy set theory. This set of records was then analysed to show the development of the topic of fuzzy set theory, the distribution of the fuzzy phrases over time and the frequency distribution of the fuzzy phrases. In addition, the field of the bibliographic record in which the phrase occurred was examined, as well as the first appearance of a particular fuzzy phrase.

On the enumeration of distinct fuzzy switching functions

This paper entails the development of bound equations on the number of minimized fuzzy switching functions. A triangular matrix representing the transitivity between fundamental fuzzy phrases is discussed and applied in the enumeration process. Improved upper and lower bounds have been developed by use of the transitivity matrix. In addition, an algorithm is described to calculate the number of distinct fuzzy switching functions for any number of variables.