Generation expansion planning is a challenging problem due to its large-scale, long-term, non-linear, and discrete nature of generation unit size. Since the computation revolution, there are several emerging techniques proposed to solve large scale optimization problem. Many of these techniques have been reported to use in generation expansion planning. This paper will describe these emerging o...

With the development of society, high-level applied students have been an urgent demand and the quality of entrepreneurial education of postgraduate has attracted more and more attention. Based on the requirements of universities society and enterprise for the comprehensive ability of postgraduate, we proposed the evaluation index system and used AHP-fuzzy comprehensive evaluation approach, whi...

In this paper, a model for the evaluation of investments in advanced manufacturing technology is developed. Many authors have called for an integration of financial and non-financial factors in such evaluations and this paper demonstrates that it is conceptually possible to do this using the mathematics of the analytic hierarchy process and fuzzy set theory. The development of the model has cer...

This paper presents a fuzzy optimization model to solve multicriteria decision making (MCDM) systems based on a fuzzy analytic hierarchy process (fuzzy AHP). To deal with the imprecise judgments of decision makers, a fuzzy AHP decision making model is proposed as an evaluation tool, where the expert’s comparison judgments are translated into fuzzy numbers. Unlike the conventional fuzzy AHP meth...

The fuzzy linear second order equations with fuzzy initial values are investigatedin this paper. The analytic general solution solutions of them usinga rst solution is founded. The parametric form of fuzzy numbers is appliedto solve the second order equations. General solutions for fuzzy linear secondorder equations with fuzzy initial values are investigated and formulatedin four cases. A examp...

Fuzzy clustering is a data analysis technique that, when applied to a set of heterogeneous items, identifies homogenous subgroups as defined by a given model or measure of similarity in fuzzy environment. Moreover, fuzzy clustering methodology has been developed and used in variety of areas like biology, computer science, engineering, medicine etc. In this paper, fuzzy cluster model is develope...

Multiple criteria decision-making (MCDM) research has developed rapidly and has become a main area of research for dealing with complex decision problems. The purpose of the paper is to explore the performance evaluation model. This paper develops an evaluation model based on the fuzzy analytic hierarchy process and the technique for order performance by similarity to ideal solution, fuzzy TOPS...

The Evaluation of eCRM implementation in most of organizations will witness an increase in efficiency, staff satisfaction, and eventually customer satisfaction. The objective of this paper is to apply and compare the analytic hierarchy process (AHP), Fuzzy AHP and Fuzzy Topsis methods to evaluate the Parsian banks’ readiness in ECRM implementation. Primary data have been collected by means of q...