Nowadays, Linguistic Modeling (LM) is considered to be one of the most important areas of application for Fuzzy Logic. It is accomplished by descriptive Fuzzy Rule-Based Systems (FRBSs), whose most interesting feature is the interpolative reasoning they develop. This characteristic plays a key role in the high performance of FRBSs and is a consequence of the cooperation among the fuzzy rules in...

In this paper, the idea of fertilizing fuzzy neural networks with wavelets is borrowed and enhanced to introduce a novel neural network named Auto Regressive eXogenous Local Model (ARXLM) network. The enhanced network has a set of notable features compared with previous published fertilized networks. These features can be summarized as follows. First, the proposed network has a simple and plast...

The existing data envelopment analysis (DEA) models for measuring the relative efficiencies of a set of decision making units (DMUs) using various inputs to produce various outputs are limited to crisp data. The notion of fuzziness has been introduced to deal with imprecise data. Fuzzy DEA models are made more powerful for applications. This paper develops the measure of efficiencies in input o...

and key words This paper presents an historical overview of the evolution of the notion of probability . The different kinds of probability and the opposition between objectivists (or frequencists) and subjectivists are presented . Then we show how some works, following the wor k by Cox, aim at deducing what is called by others axioms of probabilities, from a given set of basic postulates which...

In this paper, some properties of Novel Weighted Averages that are related to the concepts of possibility theory are examined. It is shown that Novel Weighted Averages have certain interpretations in terms of addition of interactive interval or fuzzy constraints. To do this, alternative forms of Novel Weighted Averages are provided. In particular, an alternative form of Novel Weighted Averages ...

In this paper we present completeness results of several fuzzy logics trying to capture different notions of necessity (in the sense of Possibility theory) for Gödel logic formulas. In a first attempt, based on different characterizations of necessity measures on fuzzy sets, a group of logics, with Kripke style semantics, are built over a restricted language, indeed a two level language compose...

despite of fifteen years old legislation of environmental impact assessment (eia) in iran, investigations show that there are some kinds of shortcoming in the effectiveness and efficiency of these assessments. although some of these failures were attributed by weakness in the administrative structure, but methodological shortcomings and lack of transparency had an effective role in the these pr...

Within the framework proposed in this paper, we address the issue of extending the certain networks to a fuzzy certain networks in order to cope with a vagueness and limitations of existing models for decision under imprecise and uncertain knowledge. This paper proposes a framework that combines two disciplines to exploit their own advantages in uncertain and imprecise knowledge representation ...

Uncertain input parameters may result from "fuzziness", "randomness" or "fuzzy randomness". With the use of fuzzy set theory, uncertain input parameters may be described mathematically as fuzzy variables or fuzzy random variables and may be integrated into safety assessment analysis. With the aid of -discretization involving the multiple solution of special optimization problems, fuzzy input pa...

A major advance in development of project selection tools came with the application of options reasoning to R&D. The options approach to project valuation seeks to correct the deficiencies of traditional methods of valuation through the recognition that managerial flexibility can bring significant value to a project. The main concern is how to deal with non-statistical imprecision we encounter ...