Organizations: Multiple Agents with Multiple Criteria

1. A Multiple Goal Model for Allocation of Teaching Personnel

   • Sheila M. Lawrence, Kenneth D. Lawrence, Gary R. Reeves

   Pages 222-231

2. A Multi-Objective Force Allocation Model

   • A. S. M. Masud, P. C. Byrne

   Pages 232-232

3. The Choice of Final Compromise Solution in Multiple Criteria Linear Programming Problem

   • Wojciech Michałowski

   Pages 233-238

4. Compound Lotteries; Call Option Spreads in Black-Scholes Markets

   • Joel N. Morse

   Pages 239-247

5. Multidimensional Locational Decisions and Interactive Programming

   • Peter Nijkamp, Jaap Spronk

   Pages 248-264

6. A Model of Internal Decisions in Answering Questions

   • Maria Nowakowska

   Pages 265-282

7. Trilogical Coherence in Multicriteria Decision-Aid Making — A Methodological Approach to Computer-Aid Management

   • Lucas Pun

   Pages 283-295

8. Multiobjective Programming Solutions to N-Person Bargaining Games

   • Samuel J. Ratick, Jared Cohon, Charles ReVelle

   Pages 296-319

9. Multiple Objectives in Facility Location: A Review

   • Charles ReVelle, Jared L. Cohon, Donald Shobrys

   Pages 320-337

10. Behavioral Issues in Multiattribute Utility Modeling and Decision Analysis

    • Paul J. H. Schoemaker

    Pages 338-362

11. Organizational Aspects of Multicriteria Decision Making

    • Fumiko Seo

    Pages 363-379

12. An Ellipsoidal Interactive Multiple Goal Programming Method

    • Jaap Spronk, Jan Teigen

    Pages 380-387

13. Design Requirements for an Investment Strategy Decision System for Training and Personnel Technology RDT&E

    • Robert W. Stephenson, Matilde K. Stephenson

    Pages 388-408

14. On Methodology for Group Decision Support

    • T. Tanino, H. Nakayama, Y. Sawaragi

    Pages 409-423

15. Hierarchical-Multiobjective Framework for Energy Storage Systems

    • K. Tarvainen, Y. Y. Halmes

    Pages 424-446

16. On the Fidelity of Multiattribute Preference Representations: Some Analytical Considerations

    • C. Carter Waid, Paul J. H. Schoemaker

    Pages 447-464

17. A Mathematical Basis for Satisficing Decision Making

    • Andrzej P. Wierzbicki

    Pages 465-486

18. Probability Dominance in Random Outcomes

    • C. Wrather, P. L. Yu

    Pages 486-489

19. A Method for Large-Scale Integer Goal Programming with an Application to a Facility Location/Allocation Problem

    • S. H. Zanakis

    Pages 490-498

20. Back Matter

    Pages 499-515

    PDF

The Fourth International MCDM Conference follows a tradition that began with an exploratory gathering at the University of South Carolina in 1973. The First International Conference was held in Jouy-en-Josas in 1975. The second and third were held in Buffalo (1977) and KOnigswinter (1979). We are grateful to the Office of Naval Research for years of advice and funding, and to Springer-Verlag for providing a widely dispersed series of proceedings volumes. In the case of the Delaware Conference we gratefully acknowledge new support from the corporate sector, coordinated by the University of Delaware's Development Office. Now that I have attended to the formal recognitions, I wish to place my recollection of the human side of the conference into the record. This is justi­ fiable because multiple criteria problem solving has been nurtured by a close-knit group of people whose interactions are not fully captured by the standard journal format. This was the conference in which an animated discussion between Dave,Bell and Paul Schoemaker caused Mathilde Stephenson to stand up and say, "Don't stop it; this is the best part of the conference. " Another sort of moment occurred when Lucas Pun was asked to explain a certain Chinese character in one of his transpar­ encies. He replied, "No alcohol allowed. " From Erick Duesing, speaking with an historical perspective, we had the insight that multiple criteria methods lan­ guished because "McCarthyism had made planning suspect.

• Entscheidung (Wirtsch.)
• Multiple-Criteria Decision-Making
• Optimierung
• agents
• algorithms
• linear optimization
• multi-objective optimization
• optimization
• strategy

• Department of Business Administration, University of Delaware, Newark, USA

  Joel N. Morse

Policies and ethics