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This paper is a brief summary of work on fuzzy sets being conducted at UCLA, with an emphasis on work from Goguen's Fuzzy Robot Users Group. There is a brief summary of earlier work upon which present work is based, a section of Fuzzy Robot Users Group results, a section on other work at UCLA, and a summary of work now in progress.

The concept of information is central to several fields of research and professional practice. So many definitions have been put forward that complete inventory is unachievable while authors have failed to reach a consensus. In the face of the present impasse, innovative proposals could rouse information theorists to action, but literature surveys tend to emphasize the common traits of definitions. Reviewers are inclined to iron out originality in information models; thus the purpose of this paper is to discover the creativity of authors attempting to define the concept of information and to stimulate the progress of studies in this field.

Because the present inquiry could be influenced and distorted by personal criteria and opinions, the authors have adopted precise criteria and guidelines. It could be said the present approach approximates a statistical methodology.

The findings of this paper include (1) The authors found 32 original definitions of information which sometimes current surveys have overlooked. (2) The authors found a relation between information theories and advances in information technology. (3) Overall, the authors found that researchers take account of a wide variety of perspectives yet overlook the notion of information as used by computing practitioners such as electronic engineers and software developers.

The authors comment on some limitations of the procedure that was followed. Results 1 and 3 open up new possibilities for theoretical research in the information domain.

This is an attempt to conduct a bibliographical inquiry driven by objective and scientific criteria; its value lies in the fact that final report has not been influenced by personal choice or arbitrary viewpoints.

A flexible and realistic linguistic assessment approach is developed to provide a mathematical tool for synthesis and evaluation analysis of nuclear safeguards indicator information. This symbolic approach, which acts by the direct computation on linguistic terms, is established based on fuzzy set theory. More specifically, a lattice‐valued linguistic algebra model, which is based on a logical algebraic structure of the lattice implication algebra, is applied to represent imprecise information and to deal with both comparable and incomparable linguistic terms (i.e. non‐ordered linguistic values). Within this framework, some weighted aggregation functions introduced by Yager are analyzed and extended to treat these kinds of lattice‐value linguistic information. The application of these linguistic aggregation operators for managing nuclear safeguards indicator information is successfully demonstrated.

Requirements engineering is a crucial phase in software development. Software development in a virtual domain adds another dimension to the process of requirements engineering. There has been growing interest in virtual teams, and more specifically in virtual software development. While structured software development methods are the obvious first choice for project managers to ensure a virtual software development team remains on track, the social and cultural aspects of requirements engineering cannot be ignored. These social aspects are especially important across different cultures, and have been shown to affect the success of an information system. The discussion in this paper is centred around the requirements engineering processes of a virtual team in a Thai Software House. This paper explains the issues and challenges of requirements engineering in a virtual domain from a social and cultural perspective. Project managers need to encourage a balance between structured methods and social aspects in requirements engineering for virtual team members. Cultural and social aspects influence the relationship between the virtual team and the client.

When we consider a decision problem under randomness and fuzziness, and several fuzzy information systems obtain, a comparison between them becomes interesting. In this paper, it is proposed to compare fuzzy information systems paying attention to the maximization of the “worth of fuzzy information system”.

The OTS/CafeOBJ method can be used to formally model, specify and verify distributed systems such as security protocols and railroad systems. A distributed system is modeled as an OTS, a kind of transition system, and the OTS is specified and verified with CafeOBJ, an algebraic specification language. Case analysis (or case splitting) is one of the most intellectual pieces of work in verification. Case analysis should be done entirely by hand in the OTS/CafeOBJ method, which is errorprone. It is indispensable to cover all cases and find necessary lemmas for some sub‐cases where desired results are not obtained in case analysis. We propose two methods of mechanically supporting case analysis, which concern these two issues. A case study that the proposed methods are effectively applied to a railroad signaling system is also reported.

The purpose of this paper is to present a hybrid intuitionistic fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method, called intuitionistic fuzzy ordered weighted averaging weighted averaging (OWAWA) distance TOPSIS (IFOWAWAD-TOPSIS) method for intuitionistic fuzzy multiple-criteria decision making (MCDM) problems.

Based on the OWAWA operator, the authors develop the intuitionistic fuzzy OWAWA distance measure, then the IFOWAWAD-TOPSIS method is obtained by using the IFOWAWAD and traditional TOPSIS.

The developed IFOWAWAD-TOPSIS method can overcome the drawback of traditional TOPSIS method that cannot consider both the subjective information of attributes and the attitudinal character of decision maker.

Clearly, this paper is devoted to the OWA operator, MCDM and intuitionistic fuzzy theory.

The developed method is applicable in a wide range of situations such as decision-making, statistics, engineering and economics. A numerical example concerning investment selection is given to illustrate the practicability and usefulness of the proposed approach.

This paper fulfils an identified need to study how to make a decision considering both the subjective information of attribute and the attitudinal character of decision maker in intuitionistic fuzzy environment.

In the tradition of Spencer Brown's Laws of Form, observation was defined in Luhmann's social systems theory as the designation of a distinction. In the sociological design, however, the designation specifies only a category for the observation. The distinction between observation and expectation enables the sociologist to appreciate the processing of meaning in social systems. Seeks to address this issue.

The specification of “the observer” in the tradition of systems theory is analyzed in historical detail. Inconsistencies and differences in perspectives are explicated, and the specificity of human language is further specified. The processing of meaning in social systems adds another layer to the communication.

Reflexivity about the different perspectives of participant observers and an external observer is fundamental to the sociological discourse. The ranges of possible observations from different perspectives can be considered as second‐order observations or, equivalently, as the specification of an uncertainty in the observations. This specification of an uncertainty provides an expectation. The expectation can be provided with (one or more) values by observations. The significance of observations can be tested when the expectations are properly specified.

The expectations (second‐order observations) are structured and therefore systemic attributes to the discourse. However, the metaphor of a (meta‐)biological observer has disturbed the translation of social systems theory into sociological discourse. Different discourses specify other expectations about possible observations. By specifying second‐order observations as expectations, social systems theory and sociocybernetics can combine the constructivist with an empirical approach.

What are the value theories used by art economists which can help define the field as a unique research program? We categorize the research program in art economics in Lakatosian terms and find that art economists share a value system around art which is that art contains value beyond that of exchange. This difference introduces a “paradox” of value to be addressed (either implicitly or explicitly) by the art economist in practice, in that mainstream economics assumes value is realized through exchange only. We then survey the literature and find evidence to support this value paradox claim. We also find that the art economics research program does not adequately address the potentiality of the state using art as instrumental value and introduce political economy to factor in a self-interested state using art production as a means to reproduce and ideally expand state legitimacy and power in society. We then give two examples of art-statism in practice to illustrate the possibility of art’s instrumentality.