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In this paper a new approach is proposed for dealing with uncertainty in reasoning. A numerical quantification based on possibility theory is used in the representation of uncertain facts or rules. The chaining of uncertain rules and the combination of results obtained from different chains of inference, are discussed at length. Only min or max operations are used in the chaining and in the combining processes for computing the possibility degrees corresponding to the different alternatives. Partial similarities with other approaches are pointed out.

Decision as a First Cause Decision, in my theme, is the imagining of rival paths of affairs; the assigning of these paths to the respective actions, amongst those the decision maker can envisage, which seem to make them possible; and the resolving upon that action which, at best, offers a sequel more powerfully out‐weighing what it threatens at worst, than any rival action. We thus suppose the decision maker necessarily to originate the entities, each an action and its skein of rival imagined sequels deemed possible, amongst which he will choose. The business of inventing such entities will be stopped only by his reaching a deadline for decision.

Pattern‐directed inference systems (P.D.I.S.) are among the most largely used tools in A.I. to‐day in order to represent and exploit knowledge. Generally, P.D.I.S.'s use production rules triggered by matching between rule patterns and elements of the data base. However, the lack of flexibility in the matching remains a drawback in this kind of system. In the framework of the communication in natural language with robots, approximate descriptions of real world situations and approximately specified rules are needed; furthermore, similarity in the matching process does not always need to be perfect. Thus, the pervading fuzziness of natural language can be taken into account. The following levels, belonging to the real interval [0,1], are evaluated: The possibility of similarity between referents designated in the data and in the pattern respectively; the necessity that a referent designated in the data is similar to a referent designated in the pattern. Designations are fuzzy when the pattern or the data are fuzzy, which is usual with words of a natural language.

Recent corporate failures such as Enron, WorldCom, Global Crossing and K‐Mart and auditing failures such as Arthur Andersen have sparked great public concern, including the passage of the Sarbanes‐Oxley Act of 2002. This paper aims to address the development of accounting standards.

The approach is to use the fuzzy‐analytical‐hierarchical‐process (FAHP), recently developed by de Korvin and Klyele. Uncertainty in assigning priorities and the use of semantic variables lead naturally to the inclusion of fuzzy sets in the structure of the AHP paradigm. The hierarchy of decisions, constructed sequentially, consists of three levels of attributes.

The paper shows that applying the highly sophisticated mathematical FAHP model is needed to select the optimum mechanism for establishing accounting and auditing standards. The FAHP application results lead to a rational ranking of the four bases to develop accounting standards.

This paper helps to explain the ambiguous and vague nature of the attributes of financial reporting and to apply a recently developed mathematical methodology to help accounting policy makers select the optimum mechanism for developing accounting standards.

A recommendation system for an extended process of information retrieval in distributed information systems is proposed. This system is both a model of dynamic cognitive categorization processes and powerful real application useful for knowledge management. It utilizes an extension of fuzzy sets named evidence sets as the mathematical mechanisms to implement the categorization processes. It is a development of some aspects of Pask’s conversation theory. It is also an instance of the notion of linguistic‐based selected self‐organization here described, and as such it instantiates an open‐ended semiosis between distributed information systems and the communities of users they interact with. This means that the knowledge stored in distributed information resources adapts to the evolving semantic expectations of their users as these select the information they desire in conversation with the information resources. This way, this recommendation system establishes a mechanism for user‐driven knowledge self‐organization.

With respect to multiple attribute group decision-making (MAGDM) in which the assessment values of alternatives are denoted by normal discrete fuzzy variables (NDFVs) and the weight information of attributes is incompletely known, this paper aims to develop a novel fuzzy stochastic MAGDM method based on credibility theory and fuzzy stochastic dominance, and then applies the proposed method for selecting the most desirable investment alternative under uncertain environment.

First, by aggregating the membership degrees of an alternative to a scale provided by all decision-makers into a triangular fuzzy number, the credibility degree and expect the value of a triangular fuzzy number are calculated to construct the group fuzzy stochastic decision matrix. Second, based on determining the credibility distribution functions of NDFVs, the fuzzy stochastic dominance relations between alternatives on each attribute are obtained and the fuzzy stochastic dominance degree matrices are constructed by calculating the dominance degrees that one alternative dominates another on each attribute. Subsequently, calculating the overall fuzzy stochastic dominance degrees of an alternative on each attribute, a single objective non-linear optimization model is established to determine the weights of attributes by maximizing the relative closeness coefficients of all alternatives to positive ideal solution. If the information about attribute weights is completely unknown, the idea of maximizing deviation is used to determine the weights of attributes. Finally, the ranking order of alternatives is determined according to the descending order of corresponding relative closeness coefficients and the best alternative is determined.

This paper proposes a novel fuzzy stochastic MAGDM method based on credibility theory and fuzzy stochastic dominance, and a case study of investment alternative selection problem is provided to illustrate the applicability and sensitivity of the proposed method and its effectiveness is demonstrated by comparison analysis with the proposed method with the existing fuzzy stochastic MAGDM method. The result shows that the proposed method is useful to solve the MAGDM problems in which the assessment values of alternatives are denoted by NDFVs and the weight information of attributes is incompletely known.

The contributions of this paper are that to describe the dominance relations between fuzzy variables reasonably and quantitatively, the fuzzy stochastic dominance relations between any two fuzzy variables are redefined and the concept of fuzzy stochastic dominance degree is proposed to measure the dominance degree that one fuzzy variable dominate another; Based on credibility theory and fuzzy stochastic dominance, a novel fuzzy stochastic MAGDM method is proposed to solve MAGDM problems in which the assessment values of alternatives are denoted by NDFVs and the weight information of attributes is incompletely known. The proposed method has a clear logic, which not only can enrich and develop the theories and methods of MAGDM but also provides decision-makers a novel method for solving fuzzy stochastic MAGDM problems.

Provides a personal view of the development of the theories and applications of fuzzy systems which were first introduced in the 1960s. Details the interrelationships between the pioneering proponents of fuzzy theory. Concentrates in part I on the historical beginnings of the field and in part II continues to provide personal insights into contemporary studies.

HIS MAJESTY THE KING is winning new admiration, if that were possible, as the speaker of words on libraries which are memorable. At the opening of the University Library at Cambridge on October 22nd, he described that great new library as “both a power house and a testing station of educational activities,” and went on to say, “It is a workshop of new knowledge and a store‐house of seasoned wisdom.” It is difficult to think of phrases which convey more fully the work and aspirations of a great national library. We cannot refrain from mentioning again the significant fact that within one year His Majesty has opened two libraries, which together have cost £1,000,000 to build. If any have doubts as to the national attitude towards the library movement, they will probably be resolved in favour of the future of libraries by thinking of this. Of course, the Manchester Public Library was built out of the sum accumulated from the sale of a previous central library, and we know that one half of the £500,000 spent at Cambridge came from the International Education Board; but in the first case, the good will of Mancunians was required for the spending on the library of this large sum of money, and in the second case, £229,000 was obtained by public subscription from friends of Cambridge. These are works of faith which must have a very great effect upon the future of education and culture of England. If they were alone, however, they would have been significant, but when we remember that Leeds University and the City of Sheffield have built great libraries, and even in smaller places such as Dover a new library has been established, while there are many new branch libraries at Birmingham, Bristol, and elsewhere, and renovations of older libraries, as at Coventry and Croydon, and Nottingham, we realise that in a time which is thought to be one of depression, the public library has made strides which are almost as great as those of the early Carnegie days.

The purpose of this research paper is to assess efficacy of e-governance implementation, influenced under the Indian-EU (European Union – EU) strategic dialogue. For the same purpose, this study aims to analyse and measure penetration level of information and communication technology (ICT) applications across ten select gross domestic product-dependent sectors (gross domestic product – GDP) in Indian economy.

Multi-criteria decision-making (MCDM) approach of PROMETHEE, using its partial and complete versions in fuzzy environment, is applied. The approach assesses e-governance efficacy in various sectors, which is chosen based on their contribution to GDP, where criteria values are assigned by expert opinions, feedback is received and lessons are learnt from training and initiatives taken under the Digital India programme launched by the Government of India. These criteria related to IT policy implementation, cyber security breaches, IT infrastructure development initiatives in select sectors are identified. Later, sectors outranking results have been highlighted using both fuzzy set theory along with PROMETHEE (F-PROMETHEE) and its visual application.

On applying F-PROMETHEE, studies found that industrial, railways, health and finance and education sectors outrank in their high merit orders. Contrary, outranking shows that agriculture, defence and aerospace sectors should be more open and accessible to adopt ICT applications in order to promote e-governance processes and their implementation to make e-services available to common citizens. For better interpretation of results, graphical analysis for interactive aid is used to present the analyses.

Research study was found useful in the assessment of ICT penetration level in to support Indo-EU relations, where PROMETHEE method is used to outrank sectors alternatives. Criteria are also weighted using fuzzy scale, and the impact of criteria on all alternatives has also been assessed. MCDM framework addresses that subjectivity lies in sectors to implement ICTs bases services. However, few other MCDM frameworks, methods such as COPRAS, GST, GRA, SAW and SWARA, can be used for the same purpose.

Sectors alternative involve high degree of complexity to adopt ICT applications for smooth e-governance and seek effective decision-making for investment prioritization and future development. This study also aims to address cyber security concerns of policymakers. Outranking methods of F-PROMETHEE are able to address the criteria-to-criteria impact and support decision-making in a more precise way.

This study is inspired from the strategic implementation of the framework of the e-Government Action Plan 2016-2020 of the EU. The findings from the paper can provide referential support to the Indian Government and policymakers to support information delivery, implement cyber security policies and various sector developments.

This research study can act as a strong base in the decision-making process in conflicting situations of e-governance in India. This study not only can synergize conflicting ideas of various stakeholders, academicians in the Indian IT-sector but also can act as support to administrators and the policymakers to monitor the status of the India-EU Information Society Dialogue.

The purpose of this paper is to demonstrate with examples the prudence of using or not using ample precautions before launching a strategy or plan of foresight.

A series of practical episodes illustrate the effects of predetermined care and precaution, or their absence, in different fields of human endeavour.

With foresight and determination, pondered safeguards may spell out beforehand the success or failure of an undertaking.

According to the span and scope of available historical experience, getting the future right often seems more difficult than getting it wrong,

Planners, strategists and designers should profit from the types of cases reviewed to ensure the solidity of their procedural foresight today for its implementation tomorrow.