PM Group Gained the Central Heating Negotiation Success by the Way of the Bilateral Compound Factors Forecasting Model

Abstract:

The characteristics, law and trend of commercial negotiation are expounded in this text. The commercial negotiation is the bridge of the commodity production and consumption. It is also the guaranty of the distributing and exchanges. The commercial negotiation compound factor forecasting model application study has been expounded under the Chinese new market economy conditions. By way of the application of the compound factors forecasting model, the market operating principle of "The government is leading and the market is operating" was got finally. The society hot resource is fully used. The environment is improved. And the society effect of resident welfare index etc. had been raised. It is final by way of using commercial negotiation compound factor forecasting model to have gained the multilateral double win result.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 3496-3500
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.3496
• Online since: December 2012
• Authors: Ma Lin Pan
• Keywords: Bilateral Compound Factor, Central Heating Supply, Commercial Negotiation, Multilateral Double Win

References

[1] Zou Yu, Cui Xuechen, Yu Han, Analyzing the bargain model of game theory in international commercial negotiation, Journal of Academic Exchange, Vol.122, No.5, (2004), pp.70-82, "in Chinese".

[2] Harri Ehtamo, Raimo P.Hamalainen, generating Pareto solutions in a two-Party setting: constraint proposal methods, Journal of Management Science，Vol.45, No.12, (1999), pp.45-54.

DOI: 10.1287/mnsc.45.12.1697

[3] Gheorghe BASANU, Iamandi Gheorghe BUCUR, The economic performances gained through integrating the adaptive anticipations within commercial negotiation process, Journal of Review of International Comparative Management. Vol.12, No.6, (2011), pp.58-63.

[4] Candidate Iamandi Gheorghe Bucur, Commercial negotiations optimization under competitiveness increasing within the knowledge based economy, Journal of Annals of computational economics, Vol.1, No.38, (2012), pp.110-116.

[5] R.G. Smith, The contract net Protocol: high-level communication and control in a distributed problem solver, Journal of IEEE Transaction on Computers，Vol.29, No.12, (1980), pp.1104-1113.

DOI: 10.1109/tc.1980.1675516

[6] Yang Yang, Keping Long, Xuesong Qiu, Task Allocation Negotiation Mechanism in the Clustering-based Personal MANETs, Journal of AISS, Vol. 4, No.12, (2012), pp.20-28.

DOI: 10.4156/aiss.vol4.issue12.3

[7] Yang Yang, Keping Long, Xuesong Qiu, ACO-based Selection Mechanism of Potential Sellers in the Negotiation, Journal of IJACT, Vol. 4, No.10, (2012), pp.133-140.

[8] Walaa H. El-Ashmawi, Hu Jun, LI Renfa, A Novel Distributed Fuzzy-based Negotiation Model for Coalition Formation in Multi-Agent Systems, Journal of IJACT, Vol. 4, No.15, (2012), pp.270-279.

DOI: 10.4156/ijact.vol4.issue15.31

[9] Ling-Fang Tseng, Ling-Tzu Tseng, Using ZMET to Construct the Consensus Map of the Users on Yahoo Auction Platforms, Journal of AISS, Vol. 4, No.14, (2012), p.334 ~ 340.

DOI: 10.4156/aiss.vol4.issue14.41

[10] Shima Moebbi, Rasoul Shafaei, e-Supply network coordination: the design of intelligent agents for buyer-supplier dynamic negotiations, Journal of intelligent Manufacturing, Vol. 23, No.3, (2012), pp.375-391.

DOI: 10.1007/s10845-009-0377-4

[11] Malin Pan, The practice business negotiation, Henan People's Publishing House, p, 181-185, (2001), "in Chinese".

[12] Malin Pan, The practice business negotiation, Qinghua and Beijing Jiaotong University Publishing House, pp.135-192, (2012), "in Chinese".