Sharif Digital Repository

Estimation of demand, for example, for transportation is an important issue for the planning and programming of various systems. Thus, enhancing the predictability power of such models is of high value. Demand stems from choices of individuals, and choice is subject to uncertainty and fuzziness. Uncertainty comes from many factors including incomplete information of decision-maker, and fuzziness comes from many other factors including personal perception regarding the value of the variables affecting choice. This study tries to introduce a new approach in building choice models, in which variables are transformed into another variable by the help of a global wisdom. This wisdom shows the... 

One of the applications of machine vision is to identify the indoor scenes. Identification of indoor scenes is the capability of detecting walls, floor and ceiling of an interior. Also, to distinguish the distinctions between these components by using some planes. There are several methods so that by employing machine vision it will be possible to identify indoor scenes and one of the most notable methods is fuzzy image processing. In fact, many applications of image processing require the knowledge of an expert. The theory of fuzzy set and fuzzy logic is a powerful tool to expressing and processing the human knowledge by “if … then …” rules.The purpose of this project is to present an... 

This Project describes a new model for Inventory management in Supply Chain (SC), based on Fuzzy Set Theory and Echelon Inventory model. In today’s changing market, managing the Supply chain inventories, especially for the new product becomes more complicated and uncertain than before. This work provides a new approach to model uncertainties involved in supply chain management using fuzzy set theory. For achieving a more realistic model, Echelon Inventory is used as the base of integrated supply chain inventory model. In proposed model, some of input parameters like demand, production parameters, transportation time between inventories, and some of variables like lead times are described as... 

In power system operation, the term "operation planning" carries a wide range of meaning. For some utilities, operation planning denotes primarily short-term planning tasks (up to several days), such as load forecasting, unit commitment, hydro-thermal coordination, transaction pricing, fuel allocation, and security analysis while for other companies operational planning is interpreted in a wider context, and include mid-term planning activities (up to several months), such as maintenance planning, fuel budgeting, rate forecasting, network planning, relay coordination, etc. The mid-term planning provides the link between the long-term and short-term planning programs. The duration of this... 

Trust is a common concept in interpersonal relationships. It is a replacement for strict control mechanisms, helping individuals to have a better estimation of the risks involved in an interaction or relationship. Computational notions of trust have a close relationship with security in computer systems.Different models of trust have been proposed to regulate interactions in: security, collaborative systems, and routing. We focused on two important problems and challenges in this dissertation: proper handling of uncertainty, and uncertainty-aware trust-based decision-making.We propose an integrated approach to modeling, processing, and treating uncertainty, as well as to uncertainty-aware...