The Proposal for the Twelfth Five-Year Plan for China＇s Economic and Social Development （2011-2015）（herein after referred to as the ＂Proposed Plan＂ for short） provides a complete range of guidelines for China＇...The Proposal for the Twelfth Five-Year Plan for China＇s Economic and Social Development （2011-2015）（herein after referred to as the ＂Proposed Plan＂ for short） provides a complete range of guidelines for China＇s im-mediate and long-term development.展开更多
The State Science and Technology Commission, State Economic and Trade Commission, and State Planning Commission of China have jointly worked out the Program for the Development of Chinese New and Renewable Energy rece...The State Science and Technology Commission, State Economic and Trade Commission, and State Planning Commission of China have jointly worked out the Program for the Development of Chinese New and Renewable Energy recently.展开更多
In this paper, a cubic objective programming problem (COPP) is defined. Introduced a new modification to solve a cubic objective programming problem. Suggested an algorithm for its solution. Also reported the algorith...In this paper, a cubic objective programming problem (COPP) is defined. Introduced a new modification to solve a cubic objective programming problem. Suggested an algorithm for its solution. Also reported the algorithm of the usual simplex method. Application talks about how the developed algorithm can be used to unravel non-linear. The proposed technique, modification simplex technique, can be used with the constructed numerical examples an illustrative numerical problems are given to demonstrate the algorithms.展开更多
Editor's note: We are sorry that because of the over-crowded space in our last issue, we are delayed in presenting the second part of the report delivered by the CAS President Lu Yongxiang at the 2002 working ... Editor's note: We are sorry that because of the over-crowded space in our last issue, we are delayed in presenting the second part of the report delivered by the CAS President Lu Yongxiang at the 2002 working conference of CAS. The report appears in two installments in this and the 1st issue of this volume. ……展开更多
Editor's note: We are sorry that because of the over-crowded space in our last issue, we are delayed in presenting the second part of the report delivered by the CAS President Lu Yongxiang at the 2002 working conf...Editor's note: We are sorry that because of the over-crowded space in our last issue, we are delayed in presenting the second part of the report delivered by the CAS President Lu Yongxiang at the 2002 working conference of CAS. The report appears in two installments in this and the 1st issue of this volume.展开更多
During the last years, we have developed the FLOPER platform for providing a practical support to the so-called Multi-Adjoint Logic Programming approach (MALP in brief), which represents an extremely flexible framewor...During the last years, we have developed the FLOPER platform for providing a practical support to the so-called Multi-Adjoint Logic Programming approach (MALP in brief), which represents an extremely flexible framework into the Fuzzy Logic Programming arena. Nowadays, FLOPER is useful for compiling (to standard Prolog code), executing and debugging (by drawing execution trees) MALP programs, and it is ready for being extended in the near future with powerful transformation and optimization techniques designed in our research group during the recent past. Our last update consists in the integration of a graphical interface for a comfortable interaction with the system which allows, among other capabilities, the use of projects for packing scripts and auxiliary definitions of fuzzy sets/connectives, together with fuzzy programs and their associated lattices modeling truth-degrees beyond the simpler crisp case ﹛true;false﹜.展开更多
A multi-objective linear programming problem is made from fuzzy linear programming problem. It is due the fact that it is used fuzzy programming method during the solution. The Multi objective linear programming probl...A multi-objective linear programming problem is made from fuzzy linear programming problem. It is due the fact that it is used fuzzy programming method during the solution. The Multi objective linear programming problem can be converted into the single objective function by various methods as Chandra Sen’s method, weighted sum method, ranking function method, statistical averaging method. In this paper, Chandra Sen’s method and statistical averaging method both are used here for making single objective function from multi-objective function. Two multi-objective programming problems are solved to verify the result. One is numerical example and the other is real life example. Then the problems are solved by ordinary simplex method and fuzzy programming method. It can be seen that fuzzy programming method gives better optimal values than the ordinary simplex method.展开更多
文摘The Proposal for the Twelfth Five-Year Plan for China＇s Economic and Social Development （2011-2015）（herein after referred to as the ＂Proposed Plan＂ for short） provides a complete range of guidelines for China＇s im-mediate and long-term development.
文摘The State Science and Technology Commission, State Economic and Trade Commission, and State Planning Commission of China have jointly worked out the Program for the Development of Chinese New and Renewable Energy recently.
文摘In this paper, a cubic objective programming problem (COPP) is defined. Introduced a new modification to solve a cubic objective programming problem. Suggested an algorithm for its solution. Also reported the algorithm of the usual simplex method. Application talks about how the developed algorithm can be used to unravel non-linear. The proposed technique, modification simplex technique, can be used with the constructed numerical examples an illustrative numerical problems are given to demonstrate the algorithms.
文摘 Editor's note: We are sorry that because of the over-crowded space in our last issue, we are delayed in presenting the second part of the report delivered by the CAS President Lu Yongxiang at the 2002 working conference of CAS. The report appears in two installments in this and the 1st issue of this volume. ……
文摘Editor's note: We are sorry that because of the over-crowded space in our last issue, we are delayed in presenting the second part of the report delivered by the CAS President Lu Yongxiang at the 2002 working conference of CAS. The report appears in two installments in this and the 1st issue of this volume.
文摘During the last years, we have developed the FLOPER platform for providing a practical support to the so-called Multi-Adjoint Logic Programming approach (MALP in brief), which represents an extremely flexible framework into the Fuzzy Logic Programming arena. Nowadays, FLOPER is useful for compiling (to standard Prolog code), executing and debugging (by drawing execution trees) MALP programs, and it is ready for being extended in the near future with powerful transformation and optimization techniques designed in our research group during the recent past. Our last update consists in the integration of a graphical interface for a comfortable interaction with the system which allows, among other capabilities, the use of projects for packing scripts and auxiliary definitions of fuzzy sets/connectives, together with fuzzy programs and their associated lattices modeling truth-degrees beyond the simpler crisp case ﹛true;false﹜.
文摘A multi-objective linear programming problem is made from fuzzy linear programming problem. It is due the fact that it is used fuzzy programming method during the solution. The Multi objective linear programming problem can be converted into the single objective function by various methods as Chandra Sen’s method, weighted sum method, ranking function method, statistical averaging method. In this paper, Chandra Sen’s method and statistical averaging method both are used here for making single objective function from multi-objective function. Two multi-objective programming problems are solved to verify the result. One is numerical example and the other is real life example. Then the problems are solved by ordinary simplex method and fuzzy programming method. It can be seen that fuzzy programming method gives better optimal values than the ordinary simplex method.
