In this paper, a fuzzy production inventory model with resalable returns has been analysed in an imprecise and uncertain environment by considering the cost and revenue parameters as trapezoidal fuzzy numbers. The main objective is to determine the optimal fuzzy production lotsize which maximizes the expected profit where the products leftout at the end of the period are salvaged and demands wh...

This paper deals with the problem of managing the uncertainty of an environment where a mobile robot is navigating in. This uncertainty is local to each feature detected in the environment. These features are modelled as fuzzy segments, in which their uncertainty is represented as a trapezoidal fuzzy set. An application of this schema, the localisation problem, is also described. In this case a...

The internal physical mechanism of actual sound environment system is often difficult to recognize analytically from the bottom-up viewpoint, and it contains unknown structural characteristics. Furthermore, the observations in the sound environment often contain fuzziness due to several causes. In this paper, a method for estimating the specific signal for sound environment system with unknown ...

Bellman RE, Zadeh LA . 1970. Decision-making in a fuzzy environment, Manage. Sci. , 17: 141-164. Hannan EL 1981. Linear programming with multiple fuzzy goals. Fuzzy Sets Syst. , 6: 235-248 Hansen MP 2000. Use of substitute Scalarizing Functions to guide Local Search based Heuristics: The case of MOTSP, J. Heuristics, 6: 419-431 Jaszkiewicz A 2002. Genetic Local Search for Multiple Objectives Co...

In this paper, we investigate renewal theories in the T -independent random fuzzy environment based on the concept of fuzzy variable and random fuzzy variable. For special cases, we consider the case for T = min and T =Archimedean t-norm. Mathematics Subject Classification: 60A86

In Crisp environment, the notion of cyclic group on a set is well known. We study an extension of this classical notion to the Mfuzzy sets to define the concept of Mcyclic fuzzy groups. By using these cyclic ,M-fuzzy groups, we then define cyclic M-fuzzy group family and investigate its structure properties with applications. 2000AMS Subject classification: 08A72 , 20N25, 03E72, 94D05

In this paper Algorithm is presented to perform critical path method in a fuzzy environment. The trapezoidal fuzzy number given by decision makers or characterized by historical data are utilized to assess the activity time in a project network. The fuzzy shortest path problem thus obtained is compared with conventional method.

A fuzzy regression model is used in evaluating the functional relationship between the dependent and independent variables in a fuzzy environment. Most fuzzy regression models are considered to be fuzzy outputs and parameters but non-fuzzy (crisp) inputs. In general, there are two approaches in the analysis of fuzzy regression models: linear-programmingbased methods and fuzzy least-squares meth...

This paper presents a new method for document retrieval using fuzzy-valued concept networks, where the relevant degrees between the concepts in a fuzzy-valued concept network are represented by arbitrary shapes of fuzzy numbers. There are two kinds of relevant relationships between any two concepts in a fuzzy-valued concept network, i.e., fuzzy positive association and fuzzy negative associatio...

In a stochastic and fuzzy environment, a multi-objective fuzzy stopping problem is discussed. The randomness and fuzziness are evaluated by probabilistic expectations and scalarization functions respectively. Pareto optimal fuzzy stopping times are given under the assumption of regularity for stopping rules, by using λ-optimal stopping times.